Honors and Awards

• Curriculum Fellow in Biomedical Informatics
  Harvard Medical School, 2024–present
  Postdoctoral fellowship awarded by the Department of Biomedical Informatics to support curriculum development, educational research, and teaching in AI and medicine.

• Dean’s Innovation Awards – Internal Project Support
  Harvard Medical School, 2024–2025
  Supported infrastructure for LLM-based grading systems, PostgreSQL backend integration, and educational data workflows as part of AI-driven curriculum tools.

• Canvas Integration and DIA+Ed Infrastructure Support
  Department of Biomedical Informatics & Educational Technology Group, HMS, 2024–2025
  Awarded access to beta Canvas APIs, LTI consultation, and database resources to support generative AI-based teaching tools.

• Medical Education Day Abstract Award
  Harvard Medical School, Boston, MA — October 2024
  Abstract title: “Development of a Generative Artificial Intelligence Grading and Learning Tool.”
  Recognized for innovation in AI-driven education and assessment.

• Schmidt Science Fellowship Nominee
  University of Toronto, 2023–2024
  Nominated as an international fellowship applicant recognizing innovative research contributions in AI and medical imaging.

• Queen Elizabeth II Graduate Scholarship in Science and Technology (QEII-GSST)
  University of Toronto, 2018–2023
  Annual scholarship supporting graduate research in science and technology.
  Amount: $75,000 over five years.

• Queen Elizabeth II / Sunnybrook and Women’s College Health Sciences Centre Graduate Scholarship in Science and Technology
  University of Toronto, 2018–2023
  Awarded annually to support research in medical biophysics, recognizing academic excellence and research potential in science and technology.

• Vector Institute Deep Learning and Reinforcement Learning Summer School
  Vector Institute, 2018
  Selected participant in an intensive program focused on advanced deep learning and reinforcement learning applications.

• First Place – Fields Thesis Competition
  Fields Institute for Research in Mathematical Sciences, 2017
  Awarded for an outstanding master’s thesis in applied mathematics focused on segmentation techniques in medical imaging.

• TEDxUofTSalon: Connect and Converge
  University of Toronto, 2017
  Invited speaker at TEDxUofTSalon exploring the role of data and AI in the future of healthcare.
  Watch the talk on YouTube · Event page