HARVARD MEDICAL SCHOOL · BIOMEDICAL INFORMATICS

Medical AI for
complex clinical work.

Reasoning from evidence. Decisions over time.
Learning to assist.

Conceptual illustration: patient history, lab results, and vital signs connect to a clinical decision and a clinician–patient conversation.
EvidenceDecision

Reason from evidence.

We study how AI connects clinical evidence to its decisions, and how to measure when those decisions go wrong.

Conceptual illustration: an AI agent acts in a simulated hospital and receives new observations, forming a continuing feedback loop.
AI agentSimulated care

Decide over time.

We study clinical agents and how to evaluate decisions across changing patients, resources, and care.

Conceptual illustration: an expert demonstrates a movement over a practice pad, and a supervised robot learns a matching assistive movement.
DemonstrationAssistance

Learn to assist.

We study how AI learns from expert technique to support bounded forms of robotic assistance alongside clinicians.

SELECTED RESEARCH

Ideas with evidence behind them.

Conceptual illustration of a shared research workspace with notebooks, a laptop, and a small mechanical prototype; no people are depicted.

THE PEOPLE BEHIND THE WORK

Different disciplines.
Shared curiosity.

Computer scientists and clinicians, working together at Harvard Medical School.

Meet the lab

JOIN THE LAB

Bring your questions.
Build with us.

  1. 01Postdoctoral and predoctoral researchersApply directly to the lab through a structured application.
  2. 02Prospective PhD studentsApply through the Harvard AI in Medicine PhD program.
  3. 03Medical AI BootcampA separate mentored research program with its own application process.