Dr. Rizwan Qureshi

About

Biography

I studied electronic engineering in Jamshoro, then took a master's in Islamabad and worked on signal and image processing. That work kept pointing at a problem I did not have the tools for.

The problem became my PhD at City University of Hong Kong, where I spent three and a half years on why lung cancers stop responding to the drugs that should kill them. I simulated the EGFR mutations L858R and T790M, and built models that predict how a particular tumour responds to a particular treatment.

Since then I have worked on clinical imaging at MD Anderson, led a research group in regenerative medicine at the Chinese Academy of Sciences, and spent a year in a computer-vision laboratory at the University of Central Florida. I taught in Karachi alongside that research, and I still teach when I can.

I now work on foundation models for biomedical imaging, whole-embryo modelling and women's health at Massachusetts General Hospital. It is the same problem the PhD started with, with better tools.

Career record

Oldest first, at year granularity, which is the precision the records support.

  • 2006-2010BE, Electronic Engineering
    Mehran University of Engineering and Technology, Jamshoro, Pakistan    Education
  • 2013-2015Lab Engineer, Electrical Engineering
    iUSE School of Engineering and Management Sciences, Rawalpindi, Pakistan    Teaching
  • 2012-2015MS, Electrical Engineering
    Institute of Space Technology, Islamabad, Pakistan    Supervised by Prof. Khurram Khurshid. Signal and image processing, and the point at which the work started pointing at a problem it did not yet have the tools for.Education
  • 2015-2018Lecturer, Electrical Engineering
    COMSATS University Islamabad, Wah Campus, Wah Cantt, Pakistan    Teaching
  • 2018-2021PhD Researcher
    City University of Hong Kong, Hong Kong    Supervised by Prof. Hong Yan, funded by the Research Grants Council of Hong Kong. Three and a half years on why lung cancers stop responding to the drugs that should kill them: molecular dynamics of the EGFR mutations L858R and T790M, and models that predict how a particular tumour responds to a particular treatment.Research
  • 2021-2022Postdoctoral Fellow
    Qatar Foundation and Hamad Bin Khalifa University, Doha, Qatar    Drug binding affinity in cancer patients.Research · Concurrent
  • 2021-2024Assistant Professor, School of Computing
    FAST-NUCES, National University of Computer and Emerging Sciences, Karachi, Pakistan    His longest single academic appointment. Most of the papers from this period carry a student as a co-author.Teaching
  • 2022-2023Postdoctoral Fellow, Department of Imaging Physics
    MD Anderson Cancer Center, Houston, Texas    Funded by an NIH award for artificial intelligence in drug discovery and precision oncology. Where he learned what clinical data actually looks like.Research · Concurrent
  • 2023-2024AI Team Lead, Regenerative Medicine
    Chinese Academy of Sciences, Beijing, China    Industry
  • 2024-2025Postdoctoral Scholar, Center for Research in Computer Vision
    University of Central Florida, Orlando, Florida    In Prof. Mubarak Shah's group. The year the work moved from training a model per task to pretraining one model for many.Research
  • 2026Associate Professor, Department of Computer Science
    Salim Habib University, Karachi, Pakistan    A six-month appointment. The university page still lists it as current.Teaching
  • 2025-nowSenior Research Fellow
    Massachusetts General Hospital and Harvard Medical School, Pépin Laboratory, Boston, Massachusetts    Foundation models for biomedical imaging, whole-embryo modelling and women's health. The same problem the PhD started with, better tools.Research · Current

Identifiers