Genetic studies for a wide variety of traits and diseases have grown exponentially over the last decade, providing fine-scale biological insights into disease mechanisms. However, these genetic studies have been vastly Eurocentric in composition. We have...
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...
Our laboratory utilizes human genetic approaches to gain insight into blood cell production (hematopoiesis) and how this process is perturbed in disease states. We study rare genetic blood disorders and the genetics underlying variation in hematopoiesis...
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...
My laboratory studies chromosomal abnormalities in cancer. Examples of such alterations include aneuploidy, whole-genome duplication, and complex chromosomal rearrangements. Despite their prevalence, the origin and functional impact of these alterations...
