BIG Program Faculty
Content tagged with BIG Program Faculty
Arjun Manrai
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...
Hailiang Huang
Christopher Smillie
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...
Vijay G. Sankaran
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
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
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
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...
Cheng-Zhong Zhang
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...
Timothy W. Yu
Our lab's projects lie at the intersection of genetics, neurobiology, and bioinformatics, which we apply to understand (and treat) rare pediatric neurologic diseases.
Autism genetics and neurobiology: We apply whole exome and whole genome sequencing to...