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AIM Program Faculty

Content tagged with AIM Program Faculty

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Isaac Samuel Kohane

Person
Why is it easier to find out what experience shoppers worldwide have had with the latest digital camera than it is to determine what adverse events patients have had with a particular drug? Why are blood tests and X-rays repeated needlessly? Why can one...

Sebastian Schneeweiss

Person

Sebastian Schneeweiss, MD, ScD, is a Professor of Medicine and Epidemiology at Harvard Medical School and Chief of the Division of Pharmacoepidemiology, Department of Medicine, Brigham and Women’s Hospital.

His research focuses on the comparative...

William Lotter

Person

The Lotter Lab performs interdisciplinary research with two core aims: 1) developing more robust computer vision algorithms using insights from human vision, and 2) optimizing these algorithms for medical imaging to deliver real-world impact. We aim to...

Arjun Manrai

Person

Arjun Manrai directs a research lab of machine learning scientists, clinicians, and biomedical data scientists working to improve medical decision making using computation. His group develops quantitative approaches to support physicians in making...

Pranav Rajpurkar

Person

Pranav Rajpurkar is driven by a fundamental passion for building reliable artificial intelligence (AI) technologies for biomedical decision making. His lab approaches biomedical problems with a computational lens, developing AI algorithms, datasets, and...

Marinka Zitnik

Person

Research:

AI holds tremendous promise in enabling scientific breakthroughs and discoveries in diverse areas. Dr. Zitnik investigates machine learning with a current focus on networked systems that require infusing structure and domain knowledge. This...

Kun-Hsing Yu

Person
Kun-Hsing "Kun" Yu, MD, PhD is an Assistant Professor in the Department of Biomedical Informatics at Harvard Medical School. His lab integrates cancer patients' multi-omics (genomics, epigenomics, transcriptomics, and proteomics) profiles with...

Faisal Mahmood

Person

The Mahmood Lab at the Brigham and Women's Hospital aims to utilize machine learning, data fusion and medical image analysis to develop streamlined workflows for cancer diagnosis, prognosis and biomarker discovery. We are interested in developing...

Maha Farhat

Person
The Farhat lab is a translational lab that combines genomics and informatics to understand and better control drug resistant tuberculosis and other infections. We are particularly interested in bacterial genome wide association, prediction of phenotype...