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Eric Joel Tchetgen Tchetgen Will Speak at the 2023 Distinguished Lecture Series in Statistical Sciences

May 9 | 3:30 pmMay 10 | 4:30 pm

Eric J. Tchetgen Tchetgen, 2023 Distinguished Lecture Series

CANSSI and CANSSI Ontario are excited to present Eric Joel Tchetgen Tchetgen as the guest speaker for this year’s Distinguished Lecture Series in Statistical Sciences at the University of Toronto. Dr. Tchetgen Tchetgen will present two talks:

  • An (un)Holy Union: Causal Inference, Semiparametric Statistics and Machine Learning in the Age of Data Science (May 9, 3:30–4:30 p.m. ET)
  • Single Proxy Control (May 10, 3:30–4:30 p.m. ET)

Visit the event web page for abstracts of the talks and to register for in-person or virtual attendance.

About Eric Joel Tchetgen Tchetgen

Dr. Tchetgen Tchetgen is the inaugural Luddy Family President’s Distinguished Professor in the Department of Statistics at The Wharton School of the University of Pennsylvania as well as an Adjunct Professor of Biostatistics and Epidemiologic Methods at the Harvard Chan School. Dr. Tchetgen Tchetgen has distinguished himself as one of the leading young biostatisticians and epidemiologic methodologists in the world, having made numerous influential contributions to the development and application of statistical methods for missing data, causal inference, and semiparametric regression in social, genetic and infectious disease epidemiology. In addition to his myriad of research accomplishments, Dr. Tchetgen Tchetgen is a talented and inspiring teacher and mentor who has published well over 200 papers in top statistical, epidemiological and medical journals, produced an impressive record of grant funding, and has generously and tirelessly served the statistical profession, both nationally and internationally. He is a hardworking, creative, and well-respected leader, and through his statistical talent, has dedicated his career to advancing public health. He was awarded the inaugural Rousseeuw Prize for Statistics in 2022 for his contributions to causal inference and its applications in Medicine and Public Health.


May 9 | 3:30 pm
May 10 | 4:30 pm
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