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IO Lab

ABOUT / PRINCIPAL INVESTIGATOR

Marc Succi, MD

Radiologist. Inventor. Entrepreneur.

Associate Professor of Radiology, Harvard Medical School
Radiologist, Mass General Brigham

Harvard Medical SchoolMD · Medicine · 2014
Massachusetts Institute of TechnologyLanger Lab · Stem-cell research · 2013
McMaster UniversityBHSc · Health Sciences · Summa cum laude · 2009
Marc D. Succi, MD
MEDICINE × TECHNOLOGY
MARC D. SUCCI, MD / BOSTON

Dr. Succi is a radiologist, entrepreneur, inventor, and Associate Professor at Harvard Medical School and Mass General Brigham whose work spans innovation, business, and artificial intelligence. He has been named to the Forbes 30 Under 30 in Science and Healthcare list, won the MIT Data Prize, awarded the Governor General’s Gold Medal of Canada, and is the only person to win the Massachusetts Medical Society Information Technology Award twice in its 20+ year history. For his mentorship of early career doctors and innovators, he was recently awarded the Thrall Mentorship Award in 2025.

At MIT as a student, he invented technology licensed to industry in regenerative stem cell medicine and founded two startups while simultaneously attending Harvard Medical School as a medical student. In 2016, he founded the Medically Engineered Solutions in Healthcare (MESH) Incubator at Mass General Brigham, the first innovation incubator in a hospital, and developed its approach to translating frontline clinical problems into patentable and licensable products. Through MESH, he has led innovation courses in the United States, Europe, Saudi Arabia, and the wider Middle East and North Africa region. He created Mass General Brigham's official Healthcare Innovation Bootcamp (MESH Core), first as a certificate course and conference for the hospital system of more than 80,000 people. In 2024, he opened it to the public as a global course and conference which has since graduated thousands of attendees from over 20 countries. Published research on his innovation training work has shown significant gains in healthcare innovation knowledge and its later application, including an increase of more than 50% in invention disclosure rates among course alumni. As Principal Investigator of IO, his center's research arm, he led work as senior author that produced the first and among the highest cited original papers to date on clinical decision support using generative AI models.

Dr. Succi regularly directs and teaches executive education courses at Harvard for pharmaceutical companies as well as AI courses for healthcare executives. He frequently consults and serves on advisory boards for companies in AI and digital health.

Dr. Succi completed medical school at Harvard Medical School, undergraduate studies at McMaster University in Canada, and was a researcher in the Langer Lab at MIT while attending Harvard.

SELECTED RECOGNITION

Selected awards & recognition

Forbes 30 Under 30

Forbes · Healthcare

Recognition for medical technology and entrepreneurship.

MIT $100K Thomson Reuters Data Prize

Massachusetts Institute of Technology

Awarded for medical device invention and its use of data.

Dean’s Innovation Award

Harvard Medical School

Co-principal investigator for an AI-powered clinical training companion.

Information Technology Award — two-time winner

Massachusetts Medical Society

Recognized twice for contributions to medical information technology.

Jim Thrall Mentoring Award

Massachusetts General Hospital

Recognized by mentees for contributions to their careers.

Governor General’s Academic Medal

McMaster University · Canada

Awarded for the highest graduating academic standing.

FOUR WAYS INTO THE WORK

The question comes first.

Explore the connections between clinical practice, research, and building something useful.

Clinical decision-support research / AMIA recognition, 2023

How does a model make a medical decision?

Marc led MESH IO’s early studies evaluating generative AI across clinical decision-making. The work spans differential diagnosis, testing, and management, and received recognition from the American Medical Informatics Association for the top clinical decision-support paper of 2023.

Read the clinical workflow study ↗

CONTINUE THE CONVERSATION

A question worth working on?

Research collaborations, technology development, and speaking invitations.