We are a highly interdisciplinary research group, bringing together trainees and scientists from computer science, neuroscience, bioinformatics, physics, computing and data sciences, electrical and computer engineering, and medicine. We actively collaborate with clinicians and domain experts across diverse specialties and institutions globally. This unique convergence of disciplines has enabled us to publish across the full spectrum of scientific inquiry, from top-tier journals like Nature Medicine to premier computer science venues such as the International Conference on Machine Learning (ICML). Our mission is to create methods to fit the science and not make science fit the methods. Together, we are advancing impactful science at the intersection of AI and human health.

Joining our laboratory

We form small teams comprising individuals with complementary expertise and work persistently to build comprehensive solutions.

Important: Please read the Contact Us Page to learn about open positions.

Funding

We are grateful for financial support from the American Heart Association, the National Institute on Aging, the National Heart, Lung, and Blood Institute, the National Cancer Institute, the National Institute of Neurological Disorders and Stroke, the National Institute of Diabetes and Digestive and Kidney Diseases, and the Artificial Intelligence and Technology Collaboratories (AITC) for Aging Research program. We also thank the Karen Toffler Charitable Trust, Gates Ventures, Pfizer, Johnson & Johnson Enterprise Innovation Inc., and Visterra Inc., for funding our work.

Teaching

– Machine learning (MS650)

– Guest lectures (BF831; HM817; FC713; EC500)

News

October 2025

New paper! AI-augmented radiomic analysis on various dementias, published in npj Dementia.

September 2025

New paper! AI-first framework for multimodal data in ADRD, published in Alzheimer's & Dementia.

September 2025

New paper! Regional modal mix for MRI segmentation, published in Human Brain Mapping.

September 2025

New paper! Practice effects on digital cognitive assessment tools, published in Alzheimer's & Dementia.

August 2025

New paper! AI for Alzheimer's biomarker assessment, published in Nature Communications.

July 2025

New paper! PodGPT - An audio-augmented LLM, published in npj Biomedical Innovations.

May 2025

New grant! We received an R01 grant from the National Institute of Neurological Disorders and Stroke.

May 2025

New paper! Explainability-driven active feature acquisition, accepted in ICML.

March 2025

New award! Varuna Jasodanand wins 1st place in the poster event held at the 12th Annual BU-CTSI Translational Science Symposium.

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