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🎥 Statistical Methods for Health Equity Webinar: Briana Stephenson🎥
We were thrilled to host Dr. Briana Stephenson from the Harvard T.H. Chan School of Public Health in a past installment of our webinar series! Dr. Stephenson led a fascinating discussion on how mixture models can help uncover important patterns within underserved populations. She highlighted how traditional research methods often focus on majority subgroups, leaving smaller communities overlooked. In a diverse country like the United States, this "one-size-fits-all" approach
Mar 3, 2025


🎥 Statistical Methods for Health Equity Webinar: Charles Jones🎥
Last month we welcomed Charles Jones to present his latest work at the Statistical Methods for Health Equity webinar series. Charles Jones is a fourth-year PhD student at Imperial College London, advised by Professor Ben Glocker. Charles' research is at the intersection of fairness and causality in machine learning for medical imaging. He is interested in how causality may be used as a unifying language to understand (and begin to solve) core problems in machine learning, suc
Feb 10, 2025


Are we automating inequality?
Ellen Coughlan , Social Justice theme team Over a long winter break, I was finally able to tackle that most daunting task - the unread...
Jan 24, 2025
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