Dalla Lana School of Public Health
Toronto, Ontario, Canada
Professor Michael Escobar is a professor in the biostatistics division at the Dalla Lana School of Public Health. He has been a faculty member at U of T since 1993 and is a leader in theoretical and applied statistical research. Professor Escobar's work involves both statistical research and collaborative research and he is known internationally for his foundational developments in Bayesian nonparametric modeling and computational algorithms. His work in this area relates to a wide range of disciplines including machine learning, econometrics, genomics, environmetrics, and civil engineering. His applied statistical work is aimed at applying and improving statistical techniques in the medical, biological, and public health sciences. This collaborative work spans a wide range of work in biomedical public health research. While most of these publications have been in the area of mental health, learning disabilities, traumatic brain injury, HIV prevention, his collaborative work has covered most of the areas of the determinants of health. His past leadership positions at U of T include director of the Biostatistics programs, interim chair of the Department of Public Health Sciences, and the associate dean of faculty affairs of the Dalla Lana School of Public Health. He has won the LJ Savage Thesis award for the worldwide best thesis in Bayesian methods and the Robin Badgley Teaching award at the Dalla Lana School of Public Health. He is also a Fellow of the American Statistical Association.
I do not have any relevant financial / non-financial relationships with any proprietary interests.
Wednesday, November 9, 2022
3:35 PM – 3:51 PM
Thursday, November 10, 2022
3:15 PM – 3:31 PM