About Me

I am an Assistant Professor in the Department of Mathematics and Statistics at York University, with cross-appointments as a status-only Assistant Professor at the Dalla Lana School of Public Health, University of Toronto, and a Clinician Investigator at the University Health Network (UHN).

I hold a PhD in Computer Science with a specialization in Machine Learning from the Indian Institute of Technology Jodhpur, followed by a postdoctoral fellowship in Biostatistics at the Princess Margaret Cancer Centre, UHN. My research program centers on developing bespoke deep learning models for high-dimensional, multimodal healthcare data, with a strong commitment to clinical interpretability and deployment. Through interdisciplinary collaborations at UHN, I lead projects addressing complex health challenges across liver disease, sepsis, cancer, and osteoarthritis. My work, published in journals such as Lancet Digital Health and Bioinformatics, advances robust, explainable machine learning approaches to enable precision medicine and real-world clinical impact.

Research Interests

  • Machine Learning for Healthcare
  • Deep Learning
  • Reinforcement Learning
  • Generative AI
  • Big Data in Healthcare

Education and Training

  • Postdoctoral Fellowship, May 2019 - Sep 2021
    University of Toronto & Princess Margaret Cancer Centre, UHN
  • PhD in Computer Science, May 2015 - May 2019 (Specialization: Machine Learning)
    Indian Institute of Technology Jodhpur, India
  • M.Tech in Computer Science, May 2013 - May 2015
    Indian Institute of Technology Jodhpur, India
  • Bachelor in Engineering (B.E.) in Computer Science, Jun 2008 - May 2012
    Birla Institute of Technology, Mesra

Research Funding

As Principal Investigator

  • NFRF Exploration Grant (2025–2027)
  • York University Research Support Grant (2025–2026)
  • YUFA Research Grant & Junior Faculty Fund (2025–2026)
  • NSERC Discovery Grant (2024–2029)
  • NSERC Discovery Supplement (2024–2029)
  • Digital Research Alliance of Canada RRG Award (2024–2026)

With Collaborators

  • CIHR Team Grant (2025–2030)
  • CIHR Project Bridge Grant (2023–2024)