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Organizers

Nandita Bhaskhar
nanbhas@stanford.edu
https://www.stanford.edu/~nanbhas
PhD Candidate
Stanford University
Bio
Nandita Bhaskhar is a PhD student in Electrical Engineering at Stanford University advised by Prof. Daniel Rubin. Her research focuses on observational supervision & self-supervision for leveraging unlabelled medical data and quantifying ML model trust and mitigating distribution shifts for reliable clinical deployment.
Siyi Tang
siyitang@stanford.edu
https://siyitang.me
PhD Candidate
Stanford University
Bio
Siyi Tang is a PhD student in Electrical Engineering at Stanford University advised by Prof. Daniel Rubin. Her research interests lie in the intersection of machine learning and medicine. She develops ML methods for medical applications by leveraging the important characteristics in medical data.
Daniel L Rubin
dlrubin@stanford.edu
https://rubinlab.stanford.edu/
Professor
Stanford University
Bio
Daniel Rubin is Professor in the Departments of Biomedical Data Science, Radiology, and Medicine (Biomedical Informatics), and by courtesy, of Computer Science and Ophthalmology at Stanford University. Work in the lab lies at the intersection of biomedical informatics and imaging science.

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