The Data Sciences Speaker Series at U of T

The Data Science Speaker Series at U of T (DSSSatUofT) is the result of a collaboration of Data Science programs at the University of Toronto.


Together, we seek to advance knowledge in the field of data science by featuring world-class speakers from academic, healthcare, industry, finance, technology, sports, and other sectors and industries.


In doing so, we hope to facilitate the exchange of ideas, information, and knowledge among scientists, practitioners, and other professionals, and to enhance educational opportunities for students and trainees.


Seminars are held every third Monday of each month, from October to May, 5:15-6:15 pm EST.


2021-2022 seminars will be held online with speakers and participants interacting remotely, and move to a hybrid model with online and in-person participation, when safe.


We look forward to welcoming you to a memorable 2021-2022 Season!


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A collaboration Between

Organizing Committee

Periklis Andritsos, Assistant Professor, Faculty of Information; Liaison, Human Centered Data Science (HCDS)

Timothy Chan, Director, Centre for Healthcare Engineering; Director, Centre for Analytics and AI Engineering (CARTE); and Professor of Mechanical and Industrial Engineering, Centre for Global Engineering

Arvind Gupta, Academic Director, Master of Science in Applied Computing (MScAC); Professor, Department of Computer Science

Dmitry Krass, Academic Director, Master of Management Analytics Program; Professor, Rotman School of Management

Muhammad Mamdani, Director, Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), Faculty of Medicine, University of Toronto; Professor, Temerty Faculty of Medicine, Leslie Dan Faculty of Pharmacy, and the Dalla Lana Faculty of Public Health

Laura Rosella, Scientific Director and Principal Investigator, DLSPH Data Science Interdisciplinary Research Cluster; Associate Professor, Dalla Lana School of Public Health

Lisa Strug, Director, CANSSI Ontario; Professor, Departments of Computer Science and of Statistical Sciences