Portrait of Dr. Rizwan Qureshi

Dr. Rizwan Qureshi

Senior Research Fellow, Pépin Laboratory
Massachusetts General Hospital and Harvard Medical School
Department of Obstetrics, Gynecology and Reproductive Biology

Boston, Massachusettsengr.rizwanqureshi786@gmail.com

I work on artificial intelligence for medicine and biology. I began in electronic engineering in Pakistan, took a doctorate at City University of Hong Kong on why lung cancers stop responding to the drugs that should kill them, and have since worked at MD Anderson, the Chinese Academy of Sciences and the University of Central Florida. I am now at Massachusetts General Hospital, on foundation models for biomedical imaging and for women's health.

Research interest

Research areas

My research is in artificial intelligence applied to medicine and biology, spanning medical image analysis, computational oncology and multimodal learning. My current focus is the foundation-model paradigm: pretraining one model on large biomedical corpora, then adapting it to many clinical tasks.

Recent focus

  1. Foundation models for biomedical imaging and whole-embryo modelling
  2. Drug resistance and treatment-response prediction in lung cancer
  3. Multimodal learning across imaging, genomics and clinical text
  4. Responsible AI, including synthetic-media forensics and disinformation

Note. I am open to collaboration, to co-supervising student projects, to peer review, and to invited lectures.

News

  • Aug 2026ReleaseI released PMC-CancerBox, a multi-modal breast cancer and brain tumour segmentation dataset, with a representation audit. Repository
  • Jul 2026TalkInvited talk at the Summer School on Machine Learning and Artificial Intelligence Methods, School of Mathematics and Computer Science, IBA Karachi.
  • Jun 2026ReleaseI deposited a multimodal deepfake dataset of 800 generated videos across four manipulation categories, in English and Urdu, on Zenodo. Dataset
  • Nov 2025TalkInvited talk in the AIMS and IKIM seminar series, North Rhine-Westphalia.
  • Mar 2025ReleaseI published the code and materials for the PRISMA review of 232 studies on responsibility for generative AI outcomes. Repository
  • 2025WorkshopI organised the workshop on Foundational AI Models in Biomedical Imaging at the IEEE International Symposium on Biomedical Imaging.
  • 2025TalkInvited seminar in the CITA seminar series, University of South Florida.

Selected awards

Awards and service
  • 2024DAAD AInet FellowGerman Academic Exchange Service
  • 2022Postdoctoral AwardNational Institutes of Health, Clinical Center
  • 2022Postdoctoral FellowshipQatar Foundation
  • 2018PhD ScholarshipResearch Grants Council, Hong Kong
  • 2020Outstanding Academic Performance Award for Research Degree StudentsCity University of Hong Kong
  • 2019, 2020Research Tuition Scholarship (RGC 64B)City University of Hong Kong
  • GraduateDeep Learning
  • GraduateDigital Image Processing
  • UndergraduateDigital Signal Processing
  • UndergraduateDigital Logic Design

Contact

engr.rizwanqureshi786@gmail.comBoston, MassachusettsWorking hours overlap with GMT-5 and GMT+1