Eric Zimmermann

Senior Applied Scientist, Biomedical ML

I am a Senior Applied Scientist at Microsoft Research New England. My work focuses on machine learning methods for scientific and biomedical data, with interests in biomedical machine learning, representation learning, and multimodal systems.

Much of my recent research has focused on computational histopathology and fluorescent microscopy at scale. This includes work published in Nature Medicine on clinical grade cancer detection.

Previously, I worked at Sama on data curation and dataset quality, and at CAE as an electrical system designer for full-flight simulators.

I completed my M.Sc. and B.Eng. in Electrical and Computer Engineering at McGill University and Mila, where I worked in the Probabilistic Vision Group under Tal Arbel. My research focused on self-supervised learning, alignment, and representation geometry, with applications to brain MRI analysis for detecting and predicting disease progression in multiple sclerosis.

I am always happy to hear from people interested in related research or potential collaborations; the best way to reach me is ezimmermann at microsoft dot com.

Outside of work, I enjoy hiking, video games, and excessive amounts of coffee.