Lab profile
About DBMI
The Department of Biomedical Informatics tackles the crucial need in modern healthcare of integrating, interpreting, and acting upon complex data generated during biomedical research and medical practice. By transforming large biomedical data sets into pragmatic computational technologies in areas like genomics, machine learning, and artificial intelligence, DBMI is defining the future of precision medicine and impacting human health.
Artificial IntelligenceBiomedical Discovery InfrastructureClinical Decision MakingComputational OmicsEvolutionary GeneticsGenes and EnvironmentLearning Health SystemsMicrobial Genomics
01 · Research focus
Research areas and highlights
Topics and recent work as stated on the lab’s own site.
- 4CE (Consortium for Clinical Characterization of COVID-19 by EHR)International volunteer consortium across 9 countries and more than 300 hospitals studying the clinical course of COVID from early 2020 to present, including long COVID.
- 4DNucleome (4DN) DCICData Coordination and Integration Center supporting study of three-dimensional organization of the nucleus in space and time.
- AIM PhD TrackTraining computational students to harness large-scale biomedical data and cutting-edge AI methods to create clinically impactful research.
- Core for Computational Biomedicine (CCB)Multi-disciplinary team collaborating with HMS Quad-based researchers to develop tools, platforms, and data science solutions for biomedical discovery.
- ProCyonMultimodal foundation model using protein sequence, structure, and natural language to generate and predict protein phenotypes across diverse knowledge domains.
- genTBAnalysis tool for Mycobacterium tuberculosis genomic data offering data sharing, resistance prediction, and geographic mapping.
- HuBMAP Data PortalCentral resource for discovery, visualization, and download of single-cell tissue data generated by the HuBMAP Consortium.
- Undiagnosed Diseases Network (UDN)NIH-backed research study seeking to provide answers for patients and families affected by mysterious conditions.
- Therapeutics Data Commons (TDC)Global initiative to access and evaluate artificial intelligence capability across therapeutic modalities and stages of discovery.
- ToolUniverseOpen ecosystem of 600+ scientific tools to turn any large language model into an AI scientist.
- People Heart StudyEnables individuals to use personal health data to learn about heart disease risk and discuss results with their doctor.
02 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
Isaac KohaneDirector
Paul AvillachFaculty
Michael BaymFaculty
Gabriel BratFaculty
John BrownsteinFaculty
Tianxi CaiFaculty
Maha FarhatFaculty
Nils GehlenborgFaculty
Heng LiFaculty
Arjun (Raj) ManraiCore Faculty
Arjun ManraiFaculty
Luke O'ConnorFacultyLinkedIn ↗
Peter ParkFaculty
03 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- Shadow AI and the Limits of Institutional Agility.Journal of medical Internet research · 2026
- Repurposing adult AI radiograph models for neonatal care through continual learning: an international multicentre study.Nature biomedical engineering · 2026
- MAGIC: an international network for evaluating generative artificial intelligence in global health.Nature medicine · 2026
Active NIH grants
- Advancing cancer vaccine design using deep learning to predict peptide-HLA class I binding and immunogenicityJessika Baral · NCI · FY 2026
- Evolutionary Tradeoffs in Antibiotic ResistanceMichael Baym · NIGMS · FY 2026
- The functional and phenotypic effects of protein coding genetic variationLuke O'Connor · NIGMS · FY 2026
04 · Updates
Updates and lab news
News and events from the lab’s own site.
- AI Tool Improves Prediction of Who Will Respond to Cancer Immunotherapy DrugsNewsJul 3, 2026 · dbmi.hms.harvard.edu
- New Tool Helps Uncover Rare Genetic Mutations in Common Diseases, Including Parkinson'sNewsJun 25, 2026 · dbmi.hms.harvard.edu
- Study Suggests AI Is Good Enough at Diagnosing Complex Medical Cases To Warrant Clinical TestingNewsApr 30, 2026 · dbmi.hms.harvard.edu
- A Large-Scale Look at the ExposomeNewsMar 18, 2026 · dbmi.hms.harvard.edu
- Medical AI Models Need More Context To Prepare for the ClinicNewsFeb 3, 2026 · dbmi.hms.harvard.edu
- Insurance Data Could Help Fill Gaps Between Longer Clinical TrialsNewsJan 23, 2026 · dbmi.hms.harvard.edu
- Researchers Discover Bias in AI Models That Analyze Pathology SamplesNewsDec 16, 2025 · dbmi.hms.harvard.edu
- Subverting Plasmids To Combat Antibiotic ResistanceNewsNov 20, 2025 · dbmi.hms.harvard.edu
05 · Official presence
Lab sources and channels
The lab’s own pages and accounts.
06 · Related
Related labs and centers
Labs at the same institution and labs working on similar topics.