Machine Learning in Biomedicine

We develop and apply machine learning methods to answer crucial questions in biomedical research : to characterize genome organization, to decipher adaptive immunity, for cancer biomarker discovery, for integrative modeling of multiple modalities of biomedical datasets including genetic, epigenetic, transcriptomic and imaging datasets. Our current methodological focus is on incorporating causal modeling and informative priors in deep learning models and multiple instance learning.

Published Feb. 10, 2021 2:18 PM - Last modified Feb. 10, 2021 2:18 PM