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 probabilistic and data-driven decisions using genomic and blood laboratory data, with attention to decision making across populations. His long-term goal is to develop new computational approaches that incorporate rich and deep representations of clinical state and identity into care. Active projects in the group include:

1. Improving genetic variant classification with statistical and machine learning approaches, with a focus on inherited heart disease

2. Disentangling demographic and clinical structure in blood laboratory biomarkers with a focus on kidney disease

3. Developing semi and self-supervised learning approaches for both highly structured (e.g. imaging) and less structured (e.g. laboratory) data

4. Modeling fundamental reproducibility and adoption challenges associated with the clinical deployment of artificial intelligence

Manrai is a long-time mentor of undergraduates at Harvard College, having served for nearly a decade as Resident Tutor and Faculty Associate at Leverett House.

Manrai received an A.B. in Physics with Highest Honors from Harvard and earned his Ph.D. in Bioinformatics and Integrative Genomics from the Harvard-MIT Division of Health Sciences and Technology under Professor Isaac Kohane.

DBMI Research Areas

Artificial Intelligence

Clinical Decision Making

Genes and Environment