Emma
Kondrup

Education
BS.c Honours Computer Science
McGill University (CGPA: 3.7/4.0)
Courses include Machine Learning, Network Science, Modern Computer Games.
Extracurriculars
  • IOP Peer Review Excellence Course, IOP Publishing (2025).
  • Technical Project Manager, McGill AI Society (2024 - ).
  • Hackathons: HackHarvard (2023), CodeJam (2023 & 2024).
  • Member of the McGill Biomechanics Club (2022 - 2023).
    • Read some more by downloading my CV in the graph!
    Experience
    Student Researcher in AI applications with social benefits
    Complex Data Lab at Mila - Quebec Artificial Intelligence Institute, under the supervision of Prof. Reihaneh Rabbany
    ( May 2025 - )
    Research Assistant in Bioscience Innovation Law
    University of Copenhagen, Faculty of Law, Center for Advanced Studies in Bioscience Innovation Law (CeBIL)
    ( July 2024 - )
    Member of research Workstream on GenAI & ML
    Global Alliance for Genomics and Health (GA4GH) Regulatory and Ethics Workstream (REWS)
    ( Feb 2024 - )
    Research Assistant in Bioethics & Digital Medicine
    McGill Genome Centre for Genomics and Policy (CGP) & Genetic Discrimination Observatory (GDO)
    ( Dec 2022 - Aug 2024 )
    Research Intern in Ethics of AI
    Prof. Boris Düdder at the University of Copenhagen (Data Institute, DIKU)
    ( May - June 2023 )
    Research Intern in Cognitive Science
    Prof. Fabienne Chétail at the Université Libre de Bruxelles (Laboratoire Cognition Langage et Développement, LCLD)
    ( February 2020 )
    Publications
    Preprint
    Base3: a simple interpolation-based ensemble method for robust dynamic link prediction

    Temporal Graph Learning workshop @ KDD 2025
    2025
    Preprint
    Are Large Language Models Good Temporal Graph Learners?

    Pre-print, submission to NeurIPS 2025
    2025
    Harvard's Bill of Health
    Informed Consent, Redefined:
    How AI and Big Data are changing the Rules

    Harvard's
    Bill of Health
    2025
    Delphi Study, GDO
    The Key Features of a Genetic Nondiscrimination Policy: A Delphi Consensus Statement

    JAMA Netw. Open
    2024
    GA-research
    The Ethical Issues Associated with the Use of Genetic Ancestry in Genomics Research: A Mixed-Methods Systematic Literature Review
    SSHRC, McGill Thesis
    2024
    instant-curry
    Still using genetic data? A comparative review of Canadian life insurance application forms before and after the GNDA.
    Facets
    2024
    Telehealth Study Team
    Consultation citoyenne pour l’évaluation de l’expérience usager en télésanté : rapport final.

    Internal, with the Québec MSSS Ministry and McGill Health Centre.
    2023
    Talks & teaching
  • Honours Project, « Instant-Curry: a Boundless Proof Auto-Grader for teaching Functional Programming Theory » (Conference of McGill's Epic Programming Language Systems)
  • Workshop Leader, « Python Libraries for Machine Learning » (McGill AI Society’s 2025 Hackathon, Canada's Largest AI Hackathon!)
  • Technical Mentor and Final Judge (McGill AI Society’s 2025 Hackathon)
  • Guest Lecturer, « Enjeux éthiques, sociaux et légaux en médecine génétique de précision » (MMO-7031 - Université de Laval, bioethics microcapsule)
  • Speaker, « The song remains the same? A comparative assessment of Canadian life insurance application forms post-GNDA » (GDO 5th Annual Conference)
    • Media
  • Usbek & Rica , Interviewed and quoted in the 43th Ed. on Genetic Discrimination.
  • Phys.org , Press release on the "Still Using Genetic Data?" study.
  • The McGill Newsroom, Press release on the "Still Using Genetic Data?" study.
    • Projects
    SLT
    Multi-Layer Perceptron Implementation in Python (& compared with PyTorch CNN) for Sign Language Translation
    ML
    instant-curry
    Educational Programming Proof Autograder implemented in OCaml in a React-based & Supabase-powered interface.
    Full Stack Dev
    netw-sci
    NETW-SCI-EXPLORER:
    A Graph Algorithm Visualization platform using D3.js
    Network Science
    vision-demos
    VISION-DEMOS:
    Visualization of computer vision algorithms such as Procedural Content Generation (PCG) in JavaScript
    Computer Vision
    Frogger
    Hierarchical Task Network Implementation in Unity, game inspired by Frogger (Konami, 1981)
    ML
    Game Dev