CANSSI is a collaborative effort between institutions, researchers and thought leaders. With a shared vision for developing statistical sciences, it’s the people who are the heart and soul of CANSSI.

Directorate

Directorate

The Directorate is responsible for managing the day-to-day operations of CANSSI. They oversee programs, develop new initiatives, and make funding recommendations for workshops requesting less than $20,000.

Members include:

Donald Estep | Scientific Director

Scientific Director
Simon Fraser University
donald_estep@sfu.ca

Donald Estep is the Scientific Director of CANSSI. He recently joined the Department of Statistics and Actuarial Science as Canadian Research Chair in Computational Probability and Uncertainty Quantification at Simon Fraser University. He moved from the Department of Statistics at Colorado State University, where he was Department Chair, University Distinguished Professor and University Interdisciplinary Research Scholar.

His research interests include uncertainty quantification for complex physics models, stochastic inverse problems, adaptive computation, and modeling of multiscale systems. Working with his collaborators, he has developed a systematic approach to a posteriori error estimation for simulations of complex systems, efficient numerical methods for uncertainty quantification for physical models, and theory and solution of inverse problems for stochastic parameters in physical models.

His application interests include ecology, materials science, detection of black holes, modeling of fusion reaction, analysis of nuclear fuels, hurricane wave forecasting, flow in porous media, and electromagnetic scattering. His research has been supported by multiple government agencies and national laboratories.

Don has served on several scientific advisory panels for the U.S. National Science Foundation and Department of Energy and on the Sandia National Laboratories CISE External Review Board and has co-authored several reports. He has served as the (founding) Chair of the SIAM Activity Group on Uncertainty Quantification, (founding) Co-Editor in Chief of the SIAM/ASA Journal on Uncertainty Quantification, and as SIAM representative to the Governing Board of SAMSI.

His awards include Fellow of the Society for Industrial and Applied Mathematics, the Computational and Mathematical Methods in Sciences and Engineering (CMMSE) Prize, and the Chalmers Jubilee Professorship of Chalmers University of Technology.

Andrea Benedetti | Deputy Director

Andrea Benedetti

Deputy Director
McGill University
andrea.benedetti@mcgill.ca

Andrea Benedetti is an Associate Professor, jointly appointed in the departments of Medicine and Epidemiology, Biostatistics & Occupational Health at McGill University.

She is primarily interested in the statistical challenges related to individual patient data meta-analysis. Andrea is a CIHR-funded biostatistician, and an author on more than 150 peer-reviewed publications.

She co-directs the DEPRESSD Project. This group has collected data from across the globe and used it to provide evidence-based information on the diagnostic accuracy of commonly-used depression screening tools. Andrea is supported by a Chercheur Boursier award from the FRQS.

Karen Buro | Associate Director, Alberta/British Columbia/Yukon

Karen Buro

Associate Director, Western Canada Regions
MacEwan University
BuroK@macewan.ca

Karen Buro is an Associate Professor in the Department of Mathematics and Statistics at MacEwan University and has been the chair of the department since 2013. She holds a PhD in Mathematics from Aachen University in Germany.

Karen is passionate about statistics education and is a member of the Canadian Curriculum Working Group. Her research interests are in the mathematics of electoral systems and she enjoys an extensive number of collaborations with researchers from various disciplines.

Yogendra Chaubey | Past Regional Director, CANSSI Quebec

Yogendra Chaubey

Past Regional Director, CANSSI Québec
Concordia University
yogen.chaubey@concordia.ca

Yogendra P. Chaubey obtained his Masters of Statistics degree from the Indian Statistical Institute in 1972 and joined the University of Rochester for his doctoral degree. After completing his Ph.D., he took up a postdoctoral position at Carleton University and subsequently joined Dalhousie University as an Assistant Professor (1977-79). He moved to Concordia University in 1979, where he currently holds the position of Professor in the Department of Mathematics and Statistics. He was Chair of that department in 2005-2014 and 2016-17.

Yogen has been an elected member of the International Statistical Institute since 2005 and is a member of Provost’s Circle at Concordia University. He was honoured with “Life Achievement Award” for his contributions to Statistical Theory and Practice at the Silver Jubilee International Conference on Interdisciplinary Mathematics, Statistics and Computational Techniques of Forum for Interdisciplinary Mathematics in association with Manipal University, Jaipur, India, December 22-24, 2016.

He has also given several invited talks at international scholarly conferences, including one at the recent 2017 World Statistics Congress held in Morocco. His current area of research is focused on the nonparametric functional estimation that is funded by a discovery grant from the Natural Sciences and Research Council of Canada.

Yogen has been active in promoting Statistics through membership in various capacities of several statistical associations. He has served as an organizer of several academic sessions for several scholarly conferences, notably those held at Concordia University in 1991, 2001 and 2011. He also organized a workshop on Nonparametric Curve Smoothing (NCS 2013) at Concordia University in 2013.

Joanna Mills Flemming | Regional Director, CANSSI Atlantic

Joanna Mills Flemming

Regional Director, CANSSI Atlantic
Dalhousie University
joanna.flemming@dal.ca

Joanna Mills Flemming is an Associate Professor in the Department of Mathematics and Statistics at Dalhousie University. She is a member of the International Scientific Advisory Committee for the Ocean Tracking Network (OTN), the Data Management Committee for OTN, and the Ransom Myers Legacy Committee at Dalhousie University.

She is the team leader for the “Advancements to state-space models for fisheries science” Collaborative Research Team project. She is also the associate editor of the Canadian Journal of Statistics and is finishing her term as a regional representative on the SSC’s Board of Directors.

Joanna’s research interests centre on the development of statistical methodology for data exhibiting spatial and temporal dependencies with a particular interest in what is important for marine ecology, and more broadly, environmental science. She has also recently become interested in how statistics are being used to help solve problems in Biomedical Engineering.

Mohammad Jafari Jozani | Regional Director, CANSSI Prairies

Mohammad Jafari Jozani

Regional Director, CANSSI Prairies
University of Manitoba

M_Jafari_Jozani@umanitoba.ca

Mohammad Jafari Jozani is currently an Associate Professor with the Department of Statistics and an adjunct professor of Biomedical Engineering at the University of Manitoba in Winnipeg.

His current research involves statistical learning problems with high dimensional aspects in biostatistics, engineering and sustainable energy; small area estimation as well as statistical inference with complex sampling designs using order statistics and rank information. The focal point of his research program is on developing new methodologies, models and computational tools to solve data driven problems in a variety of application domains.

He has applied his research in areas such as breast cancer studies, BMD analysis and osteoporosis, mercury contamination in fish bodies, and recently in the calibration problems to design simulators for training purposes in order to make surgeries safer.

Lisa J. Strug | Regional Director, CANSSI Ontario

Lisa Strug

Regional Director, CANSSI Ontario
University of Toronto
lisa.strug@utoronto.ca

Lisa J. Strug is a Senior Scientist at the Research Institute of The Hospital for Sick Children and is an Associate Professor in the Department of Statistical Sciences and the Division of Biostatistics at the University of Toronto.

She is the Associate Director of The Centre for Applied Genomics, a federally funded Toronto-based genome centre and one of three centres contributing to a national platform providing genome sequencing and analysis services in Canada and Internationally.  Her research has focused on statistical genetics and genomics, on the foundations of statistics and on their intersection.

She is the associate editor and statistical genetics editor of npj Genomic Medicine and is the Tier 1 Canada Research Chair in Genome Data Sciences.

Board of Directors

Board of Directors

The Board of Directors is responsible for overseeing all of CANSSI’s activities. This includes approving the appointment of the Director and the Deputy Director, and advising on strategic planning and governance. Board members also participate on a number of sub-committees.

The Board meets twice a year, in December and at the time of the Annual General Meeting. The voting members are representatives of the scientific and stakeholder communities. Elections for the Board take place at the Annual General Meeting.

Members include:

Arthur Charpentier

Arthur Charpentier

Member-at-large
Term ends: 2025

Arthur Charpentier holds an MSc from ENSAE (National School in Statistics, in Paris, France) and a PhD in applied mathematics from KU Leuven (Belgium). After being professor in various institutions (mainly in France, ENSAI, ENSAE, École Polytechnique), he is now professor at UQAM, Montréal. He has published several books in actuarial science and insurance modeling, as well as research papers, and is on the editorial board of several actuarial journals.

Richard J. Cook

Richard J. Cook

Member-at-large
Term ends: 2025

Richard J. Cook is a Professor of Statistics in the Department of Statistics and Actuarial Science at the University of Waterloo and holds cross-appointments at the School of Public Health and Health Systems at the University of Waterloo and the Faculty of Health Sciences at McMaster University.

From 2005 to 2019, he held a Tier I Canada Research Chair in Statistical Methods for Health Research, and he is now a Mathematics Faculty Research Chair.

He completed a BSc in Statistics at McMaster University, and a Master’s in Mathematics and a PhD in Statistics at the University of Waterloo.

His research interests include the analysis of life history data, the design and analysis of clinical and epidemiological studies, and statistical methods for incomplete data. Areas of collaboration in health research include autoimmune disease, transfusion medicine and public health research more broadly.

Donald Estep

Don Estep

Scientific Director
Simon Fraser University
donald_estep@sfu.ca

Donald Estep is the Scientific Director of CANSSI. He recently joined the Department of Statistics and Actuarial Science as Canadian Research Chair in Computational Probability and Uncertainty Quantification at Simon Fraser University. He moved from the Department of Statistics at Colorado State University, where he was Department Chair, University Distinguished Professor and University Interdisciplinary Research Scholar.

His research interests include uncertainty quantification for complex physics models, stochastic inverse problems, adaptive computation, and modeling of multiscale systems. Working with his collaborators, he has developed a systematic approach to a posteriori error estimation for simulations of complex systems, efficient numerical methods for uncertainty quantification for physical models, and theory and solution of inverse problems for stochastic parameters in physical models.

His application interests include ecology, materials science, detection of black holes, modeling of fusion reaction, analysis of nuclear fuels, hurricane wave forecasting, flow in porous media, and electromagnetic scattering. His research has been supported by multiple government agencies and national laboratories.

Don has served on several scientific advisory panels for the U.S. National Science Foundation and Department of Energy and on the Sandia National Laboratories CISE External Review Board and has co-authored several reports. He has served as the (founding) Chair of the SIAM Activity Group on Uncertainty Quantification, (founding) Co-Editor in Chief of the SIAM/ASA Journal on Uncertainty Quantification, and as SIAM representative to the Governing Board of SAMSI.

His awards include Fellow of the Society for Industrial and Applied Mathematics, the Computational and Mathematical Methods in Sciences and Engineering (CMMSE) Prize, and the Chalmers Jubilee Professorship of Chalmers University of Technology.

Tim Hesterberg

Tim Hesterberg

Member-at-large
Term ends: 2023

Tim Hesterberg is a Staff Data Scientist at Instacart. Previously he worked as a Senior Data Scientist at Google and at Insightful (S-PLUS), Franklin & Marshall College, and Pacific Gas & Electric Co.  He received his Ph.D. in Statistics from Stanford University, under Brad Efron, and is a Fellow of the American Statistical Association.

He is author of the “Resample” package for R, Chihara and Hesterberg “Mathematical Statistics with Resampling and R” (2018), and “What Teachers Should Know about the Bootstrap: Resampling in the Undergraduate Statistics Curriculum”, The American Statistician 2015.

Karen Kopciuk

Karen Kopciuk

Member-at-large
Term ends: 2023

Karen Kopciuk is a Research Scientist in the Department of Cancer Epidemiology and Prevention Research, Alberta Health Services. She is also an Adjunct Associate Professor at the University of Calgary (UC) in the Departments of Mathematics and Statistics, Oncology and Community Health Sciences (CHS).

She is the Foundations Division lead, composed of Biostatistics, Epidemiology and Medical Education, in the Department of CHS, as well as a member of the UC Biostatistics Centre executive.

Karen has served in a number of roles with the Statistical Society of Canada, including president of the Biostatistics Section, Board member representing AB/BC/YT, Local Arrangements Co-chair for the 2019 Annual meeting and on numerous committees.

The founding of the Rocky Mountain Data Science Network (RMDSN) in 2017 was co-led by Karen and UC colleague Rob Deardon, as well as John Braun from University of British Columbia–Okanagan. RMDSN is a designated Health Science Collaborating Centre (HSCC) of the Canadian Statistical Sciences Institute (CANSSI). It has been active in promoting interdisciplinary research collaborations and internship opportunities for graduate students over the past three years.

Karen’s research focuses on time-to-event models and variable selection methods with applications in genetics and cancer.

Shili Lin

Shili Lin

Member-at-large
Term ends: 2023

Shili Lin is Professor of Statistics at the Ohio State University (OSU) and the Co-Director of the Computational Health and Life Sciences Community of Practice in the Translational Data Analytics Institute at OSU. Her research interests include the development of statistical methods for genetic association studies, genetic epidemiology, cancer genomics and epigenomics, metagenomics, and bioinformatics.

In addition to methodological work, she has collaborated with domain-area researchers to study a number of complex diseases including cancer, multiple sclerosis, and poodle epilepsy.

Shili has served the statistical profession in various capacities. While serving as the 2018 Caucus for Women in Statistics (CWS) President, she worked with the American Statistical Association (ASA) to establish the annual Florence Nightingale Day, an event to encourage high school students to pursue educational and career opportunities in statistics and data science.

She has also served on the editorial boards of a number of journals, including as current Associate Editor (AE) of Biometrics and former AE of the Journal of the American Statistical Association. She has been a standing member in NIH Study Sections including Biostatistical Methods and Research Design. She is an elected member of the International Statistics Institute, a Fellow of the ASA, and a Fellow of the American Association for the Advancement of Science.

Lisa Lix

Lisa Lix

Member-at-large
Term ends: 2025

Lisa Lix is professor and associate head of community health sciences at the University of Manitoba.

Lisa is an internationally recognized expert in the development and application of statistical models to improve chronic disease research and surveillance using population-based electronic health data.

Her research has advanced scientific knowledge about bias in disease diagnoses, methods to improve validity of chronic disease case ascertainment methods, and chronic disease risk prediction.

Her research has contributed to the scientific rigour of the Canadian Chronic Disease Surveillance System (CCDSS) developed by the Public Health Agency of Canada; she currently serves as co-chair of the Data Quality working Group for the CCDSS and was formerly co-chair of the Scientific Committee.

As director of the data science platform in the George & Fay Yee Centre for Healthcare Innovation, she oversees skilled biostatisticians, bioinformaticians, analysts, and database developers who link and analyze clinical, administrative, and biological databases to strategically enhance the provincial and national environments for patient-focused research using electronic health data.

She also leads nationally funded training initiatives on big data analytics and artificial intelligence in public/population health.

Lisa has served the Statistical Society of Canada since 2005 in various capacities and was president of the biostatistics section in 2010. She served as program chair for the Health Policy Statistics Section of the American Statistical Association in 2020.

She has published more than 400 peer-reviewed articles and book chapters.

Joel Martin

Joel Martin

Member-at-large
Term ends: 2025

Joel Martin is the National Research Council Canada (NRC)’s Chief Digital Research Officer and Chief Science Officer. He holds a Ph.D. in Computer Science, Machine Learning, from the Georgia Institute of Technology and completed postdoctoral studies at the University of Pittsburgh. Joel has received awards for exceptional leadership and for innovative approaches to technology transfer. He has published dozens of peer-reviewed research articles and taught Computer Science courses at both the University of Ottawa and Carleton University.

Since joining the NRC in 1994, he has been a researcher and served in multiple leadership roles in the Digital Technologies Research Centre, including Acting Director General, Senior Director, Director of Research and Development, Program Lead of the Multimedia Analytic Tools for Security program, Team Leader, and project lead.

His strategic leadership has resulted in an increase in the impact of digital technology research at the NRC and beyond, including advances and applications in data science and analytics, artificial intelligence (AI) and machine learning, machine translation, computer vision and graphics, cybersecurity, human-computer interfaces, natural language processing, medical and bioinformatics, and the Internet of Things (IoT). For example, under his leadership, the Research Centre has been successful in introducing digital technologies to detect disease outbreaks, some of which are now used worldwide, and digital technologies that promote Indigenous languages in Canada. In addition, Joel has established research and development programs drawing interest and collaboration from universities and other government departments. These initiatives include the NRC’s Data Analytics Centre, the Multimedia Analytic Tools for Security program, and the AI for Design Challenge program. They have increased both scientific output and impact of the NRC’s Digital Technologies Research Centre to Canada and Canadians.

Farouk Nathoo

Farouk Nathoo

Member-at-large
Term ends: 2024

Farouk Nathoo received his PhD in statistics at Simon Fraser University in 2006 under the supervision of Charmaine Dean. He joined the Department of Mathematics and Statistics at the University of Victoria in 2006, and is now an Associate Professor and Tier 2 Canada Research Chair in Biostatistics for Spatial and High-Dimensional data.

His research interests focus on Bayesian Methods, High-dimensional Data, Statistical Computation, Neuroimaging Statistics, and Machine Learning.

Farouk is currently co-leader of the CANSSI Collaborative Research Team: “Joint Analysis of Neuroimaging Data: High-dimensional Problems, Spatio-Temporal Models and Computation”, a statistical science team with three sites (UVic, UAlberta, Guelph/McMaster) focused on the development of new methods for the joint analysis of neuroimaging and genetic data.

Farouk is currently serving as a member of the NSERC Mathematics and Statistics Evaluation Group (EG 1508, 2016-2019) and is also currently serving on the editorial board of the Canadian Journal of Statistics.

Some of Farouk’s past positions include:

  • Member of the Organizing Committee for The Seventh International Workshop on the Perspectives on High-Dimensional Data Analysis, CMAT, Guanajuato, Mexico, June 2017
  • Member of the Local Organizing Committee, Organization for Human Brain Mapping (OHBM) Annual Meeting, Vancouver, British Columbia, June 2017
  • Member of the Organizing Committee, The Sixth International Workshop on the Perspectives on High-Dimensional Data Analysis, Fields Institute, May 2016
  • Member of the Organizing Committee for the BIRS Workshop on Mathematical and Statistical Challenges in Neuroimaging Data Analysis, January 2016
  • Program Co-Chair, for the Workshop on Applied Topology and High-Dimensional Data Analysis, University of Victoria, August 2015
  • Member of the Organizing Committee for the International Workshop on the Perspectives on High-dimensional Data Analysis III, Vancouver, May 2013
  • and Program Co-Chair, for GEOMED 2011 a GeoMedical Systems and Spatial Statistics International Conference, Victoria, October 2011.

Sastry Pantula

Sastry Pantula

Member-at-large
Term ends: 2024

Sastry G. Pantula, Dean of the College of Natural Sciences at California State University- San Bernardino, is nationally and internationally recognized as a leader in statistical sciences. Most recently, he has served as the Director of Data Analytics programs at Oregon State University (OSU).

He has also served as the Dean of the College of Science for four years at OSU from August 2013 to August 2017, after serving a three-year term as the Director for the Division of Mathematical Sciences at the National Science Foundation.

Sastry spent more than 30 years as a statistics professor at North Carolina State University (NCSU), where he began his academic career in 1982. At NCSU, he also served as the Director of Graduate Programs (1994-2002) and the Head of the Department of Statistics (2002-2010).

He has been a leader in graduate education, developing partnerships with industry, including GlaxoSmithKline, Eli Lilly, Merck and SAS to increase graduate traineeships and fellowships.

In all of his administrative roles, he has focused on enhancing the quality, quantity and diversity within the department, the division and the college. His core values are excellence, diversity and harmony: strive for excellence, enhance diversity and foster harmony.

Sastry is a Fellow of the American Association for the Advancement of Science (AAAS) and the American Statistical Association (ASA). He served as ASA president in 2010 and received the ASA Founders Award in 2014.

Eric Rancourt

Eric Rancourt

Chair of the Board of Directors
Term ends: 2024

Eric Rancourt is Director General of the Modern Statistical Methods and Data Science Branch at Statistics Canada. During his 30 years at Statistics Canada he has occupied several roles such as:

  • Director General of Strategic Data Management
  • Director of International Cooperation
  • Director of Corporate Planning
  • Head of research
  • Production manager of Survey Methodology Journal
  • and researcher.

His main areas of work have been on building scientific processes and measurement frameworks, treatment of nonresponse, estimation, gathering, safeguarding and use of administrative and alternate data in statistical programs.

He has been involved in many professional associations and has been an International Statistical Institute elected member for 16 years.

Nancy Reid

Nancy Reid

Member-at-large
Term ends: 2023

Nancy Reid is the former Scientific Director of CANSSI. She is a University Professor and Canada Research Chair in Statistical Methodology at the University of Toronto.

Her research interests are in statistical theory, likelihood inference, and design of studies. Along with her colleagues, she has developed higher order asymptotic methods both for use in applications, and as a means to study theoretical aspects of the foundations of inference, including the interface between Bayesian and frequentist methods.

She is interested in a number of substantive areas, including inference from large-scale surveys, environmental epidemiology, and high-energy physics.

She served on the scientific advisory panels of the National Program on Complex Data Structures, the Centre de Recherches Mathématiques, the Fields Institute for Research in the Mathematical Sciences, the Pacific Institute for Mathematical Sciences, and the Banff International Research Station.

From 2010 through 2012 she chaired the steering committee for the Long Range Plan for Mathematical and Statistical Sciences Research in Canada, which was published in December 2012.

She is a past-president of the Statistical Society of Canada and the Institute of Mathematical Statistics (IMS), and a past member of NSERC Council.  She is a Fellow of the RSC, AAAS, IMS, and the American Statistical Association.  Her awards include the Krieger-Nelson prize of the Canadian Mathematical Society and the Gold Medal of the Statistical Society of Canada.

Louis-Paul Rivest

Louis-Paul Rivest

Member-at-large
Term ends: 2025

Louis-Paul Rivest has been a professor of statistics at Laval University for forty years. He has held several positions at the Statistical Society of Canada, such as Chair of the Survey Methods Group (1998), President of the Society (2000) and Chair of the Research Committee (2010–2015). He currently holds a Tier 1 Canada Research Chair in Statistical Sampling and Data Analysis at Laval University. He is a Fellow of the Royal Society of Canada. He has been very involved with CANSSI; for example, he co-led a collaborative research team on copulas (2014–2017).

Xuebin Zhang

Xuebin Zhang

Member-at-large
Term ends: 2023

Xuebin Zhang is a Senior Research Scientist with Environment and Climate Change Canada. His main research interest is in the past and future changes in the climate and the causes of climate change. Another of his interests is in the application of statistical analysis in climate research.

He serves as a convening lead author for the Working Group I contribution to the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report, and was a lead author of previous IPCC assessment reports.

He is a co-chair of the World Climate Research Program Grand Challenge on Weather and Climate Extremes. He also serves as a chair of the steering committee for International Meetings on Statistical Climatology.

Scientific Advisory Committee

Scientific Advisory Committee

This committee adjudicates competitions for Collaborative Research Team projects, major workshops and conferences, and makes funding recommendations to the Board. 

Chaired by the Director of CANSSI, this committee consists of nine prominent statistical scientists, typically from outside Canada. The Pacific Institute for the Mathematical Sciences (PIMS), Fields Institute for Research in Mathematical Sciences (Fields), and the Centre de recherches mathématiques (CRM) are each entitled to nominate a member.

Members include:

Scarlett Bellamy

Scarlett Bellamy

Term ends: 2024

I am a Professor of Biostatistics and Director of the Graduate Programs in Biostatistics, Department of Epidemiology and Biostatistics at Drexel University. I also serve as the Associate Dean of Diversity and Inclusion at Drexel’s Dornsife School of Public Health. Prior to my current position at Drexel, I was a Professor of Biostatistics in the Perelman School of Medicine at the University of Pennsylvania. I am also Co-Director of the Biostatistics and Informatics Core (BIC) and serve as a senior biostatistician for the Center for Health Equity Research and Promotion (CHERP) at the Corporal Michael J. Crescenz VA Medical Center. My research interests are in the design, analysis and implementation of cohort and longitudinal studies, particularly group/cluster randomized trials. I have published in a number of clinical and public health disciplines including: statistical methods; behavioral economics; HIV risk reduction; clinical investigations of HIV, cancer, cardiovascular health, obesity and physical activity, adult lung injury and lung transplantation; and critical care. Additionally, I have served as Director or Co-Director of Data Coordinating Centers for several large, multisite trials as well as served as a member of numerous Data Safety and Monitoring Committees, including service as Chair. I have been an active member of the Eastern North American Region (ENAR) of the International Biometric Society in several capacities including President (2017), past Co-Chair of the Fostering Diversity in Biostatistics Workshop on numerous occasions, and I was the PI of an R13 grant supporting this effort in the past. I am also an elected Fellow of the American Statistical Association (2016) and was appointed to serve as the current Vice President of the American Statistical Association and am serving in my final year as a member of the Biostatistical Methods Research and Design (BMRD) study section for NIH.

Daniela Calvetti

Daniela Calvetti

Term ends: 2022

Daniela Calvetti is the James Wood Williamson Professor in the Department of Mathematics, Applied Mathematics, and Statistics at Case Western University. She’s a past Simons Foundation Fellow, winner of the Mather Spotlight Prize for Women’s Scholarship, and plenary speaker at the SIAM Conference on Uncertainty Quantification.

Her research interests include numerical analysis, scientific computing, computational and statistical inverse problems, and medical applications.

Merlise Clyde

Merlise Clyde

Term ends: 2022

Merlise Clyde is a professor in the Department of Statistical Science at Duke University. She is a Fellow of the ASA, past President of the International Society of Bayesian Analysis, and winner of the International Society of Bayesian Statistics Zellner Medal.

Her research interests include Bayesian solutions to feature/variable selection and model selection and prediction using Bayesian Model Averaging, with an emphasis on prior choice and computation.

Corina Constantinescu

Corina Constantinescu

Term ends: 2023

Corina Constantinescu is Professor of Mathematics and Director of the Institute for Financial and Actuarial Mathematics, in the Department of Mathematical Sciences, at the University of Liverpool. Prior to being an academic, Corina worked as an actuary and led the life insurance department of one of the first private Romanian insurance companies. Given her practical perspective, many of her papers are published in actuarial journals. She also publishes in applied probability journals.

She serves as associate editor in a number of actuarial journals and is part of the publicity team of Bernoulli Society for Mathematical Statistics and Probability.  Since 2013, together with Professor Severine Arnold of HEC Lausanne, they have been organizing the PARTY conferences for young researchers (unil.ch/party). Since 2018, she regularly teaches and supervises Masters students from the African Institute of Mathematical Science (AIMS) network.

Her expertise is in analytical methods for deriving exact or asymptotic results for ruin probabilities, with light or heavy-tailed assumptions in complex insurance risk models. Some of her more recent research interests are around fair insurance pricing when gender is not considered a factor, as well as financial inclusion, specifically fair pricing and regulation of microfinance and microinsurance practices.

Josée Dupuis

Josée Dupuis

Term ends: 2023

Josée Dupuis, Ph.D., is a Professor and Chair of Biostatistics at Boston University School of Public Health. She previously held a faculty position at Northwestern University and a senior statistical geneticist position at Genome Therapeutics Corporation, a small biotech company.

She has extensive experience in the development and application of methods for genome-wide association studies, gene by environment interaction investigation, genetic meta-analysis, rare variant analysis, and omics data analysis, with special emphasis on the development of novel statistical approaches to analyze genetic data collected on large families.

She is involved in the Framingham Heart Study and multiple international consortia, collaborating on projects to identify genes influencing diabetes related traits, pulmonary function traits, and Alzheimer’s Disease. She is a Fellow of the American Statistical Association (ASA) and the American Association for the Advancement of Science (AAAS), and she is past-President of the International Genetic Epidemiology Society.

She was recently honored with the International Genetic Epidemiology Leadership Award for her substantial contributions to the field and her service to the Society, and received the 2020 American Society of Human Genetics Mentorship Award. She is an Associate Editor for the journals Biostatistics and the Annals of Applied Statistics.

Donald Estep

Don Estep

Committee Chair

Donald Estep is the Scientific Director of CANSSI. He recently joined the Department of Statistics and Actuarial Science as Canadian Research Chair in Computational Probability and Uncertainty Quantification at Simon Fraser University. He moved from the Department of Statistics at Colorado State University, where he was Department Chair, University Distinguished Professor and University Interdisciplinary Research Scholar.

His research interests include uncertainty quantification for complex physics models, stochastic inverse problems, adaptive computation, and modeling of multiscale systems. Working with his collaborators, he has developed a systematic approach to a posteriori error estimation for simulations of complex systems, efficient numerical methods for uncertainty quantification for physical models, and theory and solution of inverse problems for stochastic parameters in physical models.

His application interests include ecology, materials science, detection of black holes, modeling of fusion reaction, analysis of nuclear fuels, hurricane wave forecasting, flow in porous media, and electromagnetic scattering. His research has been supported by multiple government agencies and national laboratories.

Don has served on several scientific advisory panels for the U.S. National Science Foundation and Department of Energy and on the Sandia National Laboratories CISE External Review Board and has co-authored several reports. He has served as the (founding) Chair of the SIAM Activity Group on Uncertainty Quantification, (founding) Co-Editor in Chief of the SIAM/ASA Journal on Uncertainty Quantification, and as SIAM representative to the Governing Board of SAMSI.

His awards include Fellow of the Society for Industrial and Applied Mathematics, the Computational and Mathematical Methods in Sciences and Engineering (CMMSE) Prize, and the Chalmers Jubilee Professorship of Chalmers University of Technology.

Sujit Ghosh

Sujit Ghosh

Term ends: 2023

Sujit Ghosh is currently a Professor in the Department of Statistics at North Carolina State University (NCSU) in Raleigh. He has over 25 years of experience in conducting, applying, evaluating and documenting statistical analysis of biomedical and environmental data.

He has served as the Co-Director of Graduate Programs in Statistics at NCSU managing over 150 students annually during 2010-2013. He was also the Project Director of a training program for undergraduates funded by the NSF during 2007-2013.

Sujit served as the Program Director in the Division of Mathematical Sciences (DMS) within the Directorate of Mathematical and Physical Sciences (MPS) at NSF in 2013-2014. He also served as the Deputy Director at the Statistical and Applied Mathematical Sciences Institute (SAMSI) in 2014-2017.

He is actively involved in teaching, supervising and mentoring graduate students, and has supervised over 35 doctoral graduate students and 5 post-doctoral fellows. He was awarded the Cavell Brownie Mentoring Award at NCSU Statistics in 2014.

Sujit served as a statistical investigator and consultant for over 40 different research projects funded by various leading private industries and federal agencies (e.g., BAYER, CDC, GSK, MERCK, NIH, NISS, NSF, SAS, U.S.EPA, USDA-NASS etc.).

He has published over 120 refereed journal articles in the various areas of statistics, with applications in biomedical and environmental sciences, econometrics and engineering. Sujit has been regularly invited by peer institutions and conference organizers to present talks.

In recent years, Sujit has contributed significantly in developing statistical models and associated methodologies for various inferential problems that are subject to shape constraint. In 2016, he was invited to present the prestigious Helen Barton Lecture Series in Mathematical Sciences at the University of North Carolina at Greensboro, where he delivered a series of three lectures on Statistical Inference Subject to Shape Constraint.

He received the International Indian Statistical Association (IISA) Young Investigator Award in 2008; was elected a Fellow of the American Statistical Association (ASA) in 2009 and as the President of the NC Chapter of ASA in 2013 and also the President of the IISA in 2017. He received the Honorary Doctorate in Statistics at Thammasat University (Thailand) in 2015.

Naisyin Wang

Naisyin Wang

Term ends: 2022

Naisyin Wang is a professor in the Department of Statistics at the University of Michigan. Before joining the University of Michigan, she was a faculty member at Texas A&M University for 18 years.

Her research interests include model-based clustering, mixed-effects models, measurement errors and missing data problems, non- and semiparametric modeling, and applications in biology and medicine.

Naisyin received her Ph.D. degree from Cornell University. She is a Fellow of the American Association for the Advancement of Science (AAAS), the American Statistical Association (ASA), the Institute of Mathematical Statistics (IMS), and an elected member of the International Statistical Institute (ISI).

She served on the International Biometric Society (IBS) Eastern North American Region (ENAR) Regional Committee (RECOM), the Council of the IMS, and was a former president of the International Chinese Statistical Association (ICSA). She served as a co-editor of Biometrics and Statistica Sinica.

Bin Yu

Bin Yu

Term ends: 2023

Bin Yu is Chancellor’s Distinguished Professor and Class of 1936 Second Chair in the departments of statistics and EECS at UC Berkeley. She leads the Yu Group, which consists of 15-20 students and postdocs from Statistics and EECS.

Formally trained as a statistician, her research extends beyond the realm of statistics. Together with her group, her work has leveraged new computational developments to solve important scientific problems. This is done by combining novel statistical machine learning approaches with the domain expertise of her many collaborators in neuroscience, genomics and precision medicine.

She and her team develop relevant theories to understand random forests, including deep learning for insight and guidance for practices.

She is a member of the U.S. National Academy of Sciences and of the American Academy of Arts and Sciences. Other past accomplishments include:

  • President of the Institute of Mathematical Statistics (IMS)
  • Guggenheim Fellow
  • Tukey Memorial Lecturer of the Bernoulli Society
  • Rietz Lecturer of IMS, and
  • A COPSS E. L. Scott prize winner.

Currently, she is serving on the editorial board of Proceedings of National Academy of Sciences (PNAS) and the scientific advisory committee of the UK Turing Institute for Data Science and AI.

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