ALERT CONTENT PLACEHOLDER

A signature, endowed annual lecture series that features a distinguished speaker with a unique and important perspective related to educating for the future of the health professions.


Featured Lecture

The Pulse of Ethical Machine Learning in Health  



Dr. Marzyeh Ghassemi focuses on creating and applying machine learning to understand and improve health in ways that are robust, private and fair. Dr. Ghassemi will talk about her work trying to train models that do not learn biased rules or recommendations that harm minorities or minoritized populations. The Healthy ML group tackles the many novel technical opportunities for machine learning in health, and works to make important progress with careful application to this domain.

Dr. Marzyeh Ghassemi is an Assistant Professor at MIT in Electrical Engineering and Computer Science (EECS) and Institute for Medical Engineering & Science (IMES), and a Vector Institute faculty member holding a Canadian CIFAR AI Chair and Canada Research Chair. She holds MIT affiliations with the Jameel Clinic and CSAIL. For examples of short- and long-form talks Dr. Ghassemi has given, see her Forbes lightning talk, and her ICML keynote.

Professor Ghassemi holds a Herman L. F. von Helmholtz Career Development Professorship, and was named a CIFAR Azrieli Global Scholar and one of MIT Tech Review's 35 Innovators Under 35. Previously, she was a Visiting Researcher with Alphabet's Verily. She is currently on leave from the University of Toronto Departments of Computer Science and Medicine. Prior to her PhD in Computer Science at MIT, she received an MSc degree in biomedical engineering from Oxford University as a Marshall Scholar, and BS degrees in computer science and electrical engineering as a Goldwater Scholar at New Mexico State University.

Professor Ghassemi has previously served as a NeurIPS Workshop Co-Chair and General Chair for the ACM Conference on Health, Inference and Learning (CHIL). She also founded the non-profit Association for Health Learning and Inference. Professor Ghassemi has published across computer science and clinical venues, including NeurIPS, KDD, AAAI, MLHC, JAMIA, JMIR, JMLR, AMIA-CRI, Nature Medicine, Nature Translational Psychiatry, and Critical Care. Her work has been featured in popular press such as MIT News, NVIDIA, and The Huffington Post.




Our Past Lectures

GBroadening Participation in the Scientific Workforce postcard

Broadening Participation in the Scientific Workforce


Dr. Hrabowski examined how healthcare organizations and academic institutions can support success by cultivating an empowering institutional culture. He related his educational experiences as a scholar and higher education leader. He also discussed the state of higher education today, increasing access to education, and the responsibility for training the next generation of scientists and healthcare professionals.

Gender Equity in Research, an Open Forum

Elsevier Gender Report 2020: The Researcher Journey Through a Gender Lens


The Open Forum event was a virtual discussion of two resources, the lecture by The Honorable Kirsty Duncan, and the Elsevier Gender Report 2020: The Researcher Journey Through a Gender Lens. It was not recorded. Comments from participants:

"It was very helpful to see the data. The comments in the session reinforced my own thoughts – so in other words I am not alone"
"There is a lot of work and expertise on gender and inclusion around the table, but the topic is an emotional one."

Dismantling Structures to Support Diversity, Equity, and Inclusion

Dismantling Structures to Support Diversity, Equity, and Inclusion


Our panelists discussed how the research community can work towards meaningful and sustainable change. With representation from the federal government, publishing, and the university research community, expect to hear creative and far-reaching actions for diversity, equity and inclusion in healthcare, education and research, possibilities that will challenge you to choose change in your own work.



The Future of Work: Recovering Better

Recovering Better: Why Science Must Choose to Include

The Honourable Kirsty Duncan, PhD


While equity, diversity and inclusion are essential for better science, the COVID-19 pandemic has magnified long-standing gender inequities that threaten to erode hard-fought gains. The Honourable Kirsty Duncan, Member of Parliament for Etobicoke North, explores these impacts and make recommendations on how science should respond.


Future of Work: Race after Technology

Race after Technology

Ruha Benjamin, PhD


Dr. Benjamin discusses her book Race After Technology: Abolitionist Tools for the New Jim Code. She examines the relationship between machine bias and systemic racism, analyzing specific cases of "discriminatory design" and offering tools for a socially-conscious approach to tech development. Note: Please email tier@uhn.ca for the password to access the lecture video.




Elsevier 

With thanks to Elsevier, our sponsor for the Dr. Daniel C. Andreae President's Lecture Series on the Future of Work.

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