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...
The Smillie Lab uses systems approaches to understand the mechanisms of host-microbiome interactions. Our research interests are broad, spanning mucosal immunology, microbiome evolution and ecology, and tissue biology, while relying on a combination of...
Tianxi Cai is a major player in developing analytical tools for mining EHR data and predictive modeling with biomedical data. She provides statistical leadership on several large-scale projects, including the NIH-funded Undiagnosed Diseases Network at...
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...
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...
Data generated by the rapidly advancing DNA sequencing technology provide the complete picture of population genetic variation and sequence divergence between species. We have been focused on the analysis of systematic re-sequencing datasets with the...
The overall goal of our work is to solve biological problems using quantitative methods from bioinformatics, statistical physics, data sciences, statistics, computer science, and mathematics. We apply these computational methods to build predictive...
