Curriculum Vitae

Awards

  • NSERC CGS-D Scholar
    May 2024 - May 2027
    $118,333 awarded in scholarship based on academic merit and research
  • SRI Fellowship May 2024 - May 2025
    $7,000 awarded in scholarship based on academic merit, proposed research, and community involvement
  • OGS Scholar
    September 2023 - May 2024
    $15,000 awarded in scholarship based on academic merit and research
  • Young Entrepreneur Scholarship (YES)
    April 2023
    $10,000 awarded for the Pocketchange startup (community-based loyalty app) MVP
  • NSERC CGS-M Scholar
    September 2022 - May 2023
    $17,500 awarded in scholarship based on academic merit and research

Education

  • PhD Candidate in Computer Science
    University of Toronto | 2021 - present
    4.0/4.0 GPA
  • Honours BSc Specialist in Bioinformatics, Major in Computer Science, Minor in Biology
    University of Toronto | 2017 - 2021
    3.91/4.0 GPA, last sessional 4.0/4.0 GPA

Work Experience

  • Microsoft Research Intern, PhD - Machine Learning for Biology and Healthcare
    June 2024 - September 2024
    Participated in 12-week internship program at Microsoft Research New England under the supervision of Alex Lu and Jimmy Hall, investigating genome language models
  • TA at the University of Toronto
    September 2021 - present
    Grading, running tutorials, creating assignments, etc. for the graduate course "Introduction to Machine Learning", "Deep Learning: Neural Networks", "Preparation for Research through Immersion, Skills, and Mentorship (PRISM)" workshops
  • Research Student at CAMH Krembil Centre for Neuroinformatics
    August 2019 - August 2021
    Conducting a research project to study the link between somatostatin-expressing neurons and Alzheimer's neuropathology
  • Part Time Full Stack Developer at UHN Techna Institute
    September 2020 - May 2021
    Continuing work on the CReSCENT: CanceR Single Cell ExpressioN Toolkit Project
  • Intern at Sick Kids Centre for Computational Medicine
    May 2019 - August 2020
    Coding in Javascript using React, MongoDB, Docker, SQL, and GraphQL to create a website to store and access data from the Canadian Healthy Infant Longitudinal Development study as well as work on the CReSCENT: CanceR Single Cell ExpressioN Toolkit Project

Relevant Coursework

  • Bioinformatics Project I, II (A+)
  • Introduction to the Theory of Computation (A+)
  • Probability for Computer Applications (A+)
  • Introduction to Machine Learning (ML) (A+)
  • Neural Networks and Deep Learning (A+)
  • Software Engineering (A+)
  • Trustworthy ML (A+)