PeopleofSuperintelligence

Researcher

Mamatha Bhat

Mamatha Bhat is a hepatologist and clinician-scientist at Toronto's University Health Network whose research uses clinical and omics data with machine learning to improve long-term outcomes after liver transplantation. After training at McGill University and the Mayo Clinic, her interest in AI began in 2017 during a PhD in medical biophysics. She won the John Charles Polanyi Prize in Physiology/Medicine in 2020, and in 2021 she and Bo Wang were co-senior authors of a Lancet Digital Health deep learning model that predicts complications after liver transplant. She is an Associate Professor of Medicine at the University of Toronto and directs its Department of Medicine's Clinician-Scientist Training Program, a post she has held since December 2021. At UHN's Ajmera Transplant Centre, she co-leads the Transplant AI initiative and is trialing a multi-agentic AI committee for liver transplant candidacy decisions.

Now at
University of Toronto, University Health Network, Vector Institute and American Society of Transplant AI Taskforce

Timeline

  1. By 2017

    McGill, Mayo Clinic and a PhD

    She trains as a resident at McGill University, completes a transplant hepatology fellowship at the Mayo Clinic in Rochester, Minnesota under Gregory J. Gores, and takes a PhD in medical biophysics on a CIHR fellowship. Her interest in AI begins in 2017 while she completes the PhD, sparked by JAMA papers on skin cancer and diabetic retinopathy recognition.

  2. 2020

    A Polanyi Prize in medicine

    She wins the 2020 John Charles Polanyi Prize in Physiology/Medicine for her research on long-term health after liver transplants. As an assistant professor in the Department of Medicine and a staff hepatologist in UHN's Multi-Organ Transplant Program, she runs a lab on recurrent liver cancer, fatty liver and metabolic disease after transplant. She is establishing the first translational research program worldwide dedicated to improving these outcomes.

  3. By 2021

    Neural networks after liver transplant

    By 2021, she and Bo Wang build artificial neural network algorithms that predict mortality from the most common complications after liver transplantation, training them on the Scientific Registry of Transplant Recipients and validating them on UHN data. With Anna Goldenberg, she uses a machine learning algorithm to identify modifiable predictors of long-term survival in recipients with diabetes, and the three coauthor the first review of machine learning in hepatology and transplantation.

  4. 2021

    Deep learning for liver transplant

    In April 2021, UHN announces a deep learning model for long-term outcomes after liver transplant, published in Lancet Digital Health, with her and Bo Wang as co-senior authors. Trained on U.S. registry data from more than 42,000 recipients and validated on over 3,200 Ajmera Transplant Centre cases, it predicts complications with more than 80 per cent accuracy at any point after transplant. The American Society of Transplantation gives her its Basic Science Career Development Award in 2021.

  5. 2022–2025

    Three research prizes

    She receives the CIHR-INMD-CASL Early Career Researcher prize in 2022, the Department of Medicine's William Goldie Prize in 2024 and the Canadian Society of Transplant Research excellence award in 2025.

  6. As of October 2026

    Transplant AI at Ajmera

    As of October 2026, she is an Associate Professor of Medicine at the University of Toronto, a hepatologist and clinician-scientist at UHN's Ajmera Transplant Centre, and a Faculty Affiliate of the Vector Institute. She co-leads the centre's Transplant AI initiative, where she is trialing a multi-agentic AI transplant selection committee trained on more than 8,000 cases and now deployed at the Mayo Clinic, UCSF and the National University Health System in Singapore. Since December 2021, she directs the Department of Medicine's Clinician-Scientist Training Program, and she chairs the American Society of Transplant AI Taskforce.

Career

  1. Since 2021University of TorontoAssistant Professor
  2. NowUniversity Health NetworkStaff Hepatologist
  3. NowVector InstituteFaculty Affiliate
  4. NowAmerican Society of Transplant AI TaskforceChair
  5. McGill UniversityResident
  6. Mayo ClinicTransplant Hepatology Fellow

From the biography.

  1. The median h-index is 48 at universities and 14 at frontier AI labsIncludes University of Toronto. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  2. Of 943 people shaping AI who worked at Google, 446 work there nowIncludes Vector Institute. Our estimates of where the 943 people shaping AI who worked at Google and Google DeepMind work now: 446 at Google and 452 across 278 other organizations.
  3. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes University of Toronto. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  4. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorateIncludes University of Toronto. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorate. Across 2,116 people with both an undergraduate degree and a doctorate recorded, we trace which undergraduate schools feed which doctoral programs, how often students stay at the same school, and how paths differ by birth-country region.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Advancing liver transplant medicine through artificial intelligence | Department of Medicine deptmedicine.utoronto.ca. Checked 21 October 2026.
  2. Mamatha Bhat Wins Polanyi Prize | Department of Medicine deptmedicine.utoronto.ca. Checked 21 October 2026.
  3. Dr. Mamatha Bhat recognized with John Charles Polanyi Prize in Physiology/Medicine | University of Toronto utoronto.ca. Checked 21 October 2026.
  4. Meet T-CAIREM member Dr. Mamatha Bhat | TCAIREM tcairem.utoronto.ca. Checked 21 October 2026.
  5. Deep learning model developed at UHN to maximize lifespan after liver transplant uhn.ca. Checked 21 October 2026.
  6. Mamatha Bhat | AASLD aasld.org. Checked 21 October 2026.
  7. Director, Clinician Scientist Training Program | Department of Medicine deptmedicine.utoronto.ca. Checked 21 October 2026.
  8. Mamatha Bhat - Vector Institute for Artificial Intelligence vectorinstitute.ai. Checked 21 October 2026.