Emma Kondrup portrait

Emma Kondrup

Mila – Quebec AI Institute · CeBIL (University of Copenhagen) · McGill University

Montreal, Canada

News

  • December 2025: I got accepted for the BLUE Fellowship at Building 21 for the semester of Winter 2026.
  • December 2025: I wrote the piece The chasm between technology and governance: Bernie Sanders to bring AI Safety to Congress?  for the CounterCritical   think tank.
  • December 2025: I attended NeurIPS 2025 in San Diego, and presented 3 papers (CrediBench, TGTalker and Real-TG) at the NPGML workshop.
  • November 2025: I held a Pessimists Archive  workshop at the Montreal AI safety, ethics and governance  group, where we went over the website of the same name and questions of AI exceptionalism.
  • November 2025: I was a reviewer for the 2026 ACM Web Conference.
  • November 2025: I wrote the piece The “Powerful Few:” an Omnidirectional Presence  for the CounterCritical  think tank.
  • November 2025: I attended the OECD's 2nd Annual Digital Trust Convention.
  • November 2025: My colleague Anne Imouza and I presented our work Dr. Bias: Social Disparities in AI-Powered Medical Guidance  at the SMASH (Symposium on Model Accountability, Sustainability and Healthcare) Convention at Mila.
  • November 2025: I was a final judge at the McGill AI Society's Hackathon.
  • October 2025: Three of my papers got accepted at the New Perspectives in Graph Machine Learning workshop at NeurIPS 2025!
  • October 2025: My colleague Anne Imouza and I presented our work Dr. Bias: Social Disparities in AI-Powered Medical Guidance at the IVADO Digital Futures  Symposium.
  • October 2025: I have become a member of the Observatoire international sur les impacts sociétaux de l'IA et du numérique (OBVIA)'s student community.
  • September 2025: I have become a member of the Centre pour l'Étude de la Citoyenneté Démocratique (CÉCD)'s student community.
  • August 2025: I co-presented Are Large Language Models Good Temporal Graph Learners?  with Shenyang Huang at the Temporal Graph Reading Group.
  • August 2025: I attended IJCAI 2025 as a volunteer.
  • August 2025: I presented Base3: a simple interpolation-based ensemble method for robust dynamic link prediction  at the Temporal Graph Learning  workshop @ KDD 2025.
  • July 2025: I wrote the piece On the Perils of Technocracy  for the CounterCritical  think tank.
  • June 2025: I attended the Inter-CeBIL Annual Retreat as a member of its program.
  • April 2025: I presented my honours thesis Instant-Curry: a Boundless Proof Auto-Grader for teaching Functional Programming Theory , supervised by Prof. Jacob Errington, at the Conference of McGill's Epic Programming Language Systems.
  • April 2025: I wrote the piece Informed Consent, Redefined: How AI and Big Data Are Changing the Rules  for the Harvard Law School's Bill of Health.
  • February 2025: I led a Python Libraries for Machine Learning  workshop at the McGill AI Society's 2025 Hackathon (the largest AI hackathon in Canada!). I was also a final judge.
  • October 2024: I was interviewed and quoted in Usbek & Rica's  43rd edition on genetic discrimination.
  • June 2024: I gave a guest lecture at the Université de Laval  for the MMO-7031 "Enjeux éthiques, sociaux et légaux en médecine génétique de précision"  bioethics microcapsule.
  • February 2024: I have become a member of two of GA4GH's working groups (REWS: Regulatory & Ethics Work Stream); the one on Genetic Discrimination and the one on Generative AI and Machine Learning.
  • January 2024: phys.org  released a press release on our 2023 "Still using Genetic Data?" article.
  • January 2024: The McGill Newsroom  released a press release on our 2023 "Still using Genetic Data?" article.
  • December 2023: I co-presented The song remains the same? A comparative assessment of Canadian life insurance application forms post-GNDA  with Prof. Yann Joly at the GDO's 5th Annual Conference in Panama.
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    Research

    CrediBench : Building Web-Scale Network Datasets for Information Integrity Accepted to the New Perspectives in Graph Machine Learning workshop @ NeurIPS 2025.
    Kondrup, E. Sabry, S. Abdallah, H. Yang, Z. Zhou, J. Pelrine, K. Godbout, J-F. Bronstein, M. Rabbany, R. Huang, S.
    Dr. Bias: Social Disparities in AI-Powered Medical Guidance Accepted to the Symposium on Model Accountability, Sustainability and Healthcare (SMASH Con '25) and at Digital Futures - IVADO 2025.
    Kondrup, E. Imouza, A.
    Informed Consent, Redefined: How AI and Big Data Are Changing the Rules Harvard's Bill of Health, 2025.
    Kondrup, E.
    Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning Accepted to the New Perspectives in Graph Machine Learning workshop @ NeurIPS 2025.
    Ding, Z. Huang, S. Cao, Z. Kondrup, E. Yang, Z. Sui, Y. Yuan, Z. Zhu, Y. Hu, X. He, Y. Poursafaei, F. Bronstein, M. Vlachos, A.
    Are Large Language Models Good Temporal Graph Learners? Accepted to the New Perspectives in Graph Machine Learning workshop @ NeurIPS 2025.
    Huang, S. Kondrup, E. Parviz, A. Yang, Z. Ding, Z. Bronstein, M. Rabbany, R. Rabusseau, G.
    Base3: a simple interpolation-based ensemble method for robust dynamic link prediction Temporal Graph Learning Workshop @ KDD 2025.
    Kondrup, E.
    The Key Features of a Genetic Nondiscrimination Policy: A Delphi Consensus Statement JAMA Network Open, 2024.
    Uberoi, D. Dalpé, G. Cheung, K. Kondrup, E. Palmour, N. Arawi, T. Arych, M. Aviles, M. A. R. Ayuso, C. Bentzen, H. B. Blizinsky, K. Bombard, Y. Chandrasekharan, S. Chung, B. H. Y. de Paor, A. Doerr, M. Dove, E. S. Dupras, C. Granados-Moreno, P. Greenbaum, D. Gunnarsdóttir, H. D. Haidar, H. Ho, C. Jamuar, S. S. Kim, H. Lebret, A. Macdonald, A. Minssen, T. Nasir, J. Nicol, D. Nicolás, P. Otlowski, M. Nair, A. P. S. Prince, A. E. R. Rothstein, M. Ryan, R. Sillon, G. Singh, K. K. Stedman, I. Tiller, J. van Howyeghen, I. Zawati, M. Joly, Y.
    The Ethical Issues Associated with the use of Genetics Ancestry in Genomics Research: A Mixed-Methods Systematic Literature Review SSHRC & McGill Thesis, 2024.
    Liu, H. Kondrup, E. Joly, Y.
    Public Opinion Survey on Telemedicine Care Delivery in Quebec For the Ministry of Health and Social Services of Quebec, in collaboration with the McGill Health Centre, 2023.
    Ells, C. Palmour, N. Kondrup, E. Ghanem, A. Grenier, L.
    Still using genetic data? A comparative review of Canadian life insurance application forms before and after the GNDA. FACETS, 2023.
    Fernando, A. Kondrup, E. Cheung, K. Uberoi, D. Joly, Y.
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    Experience

    Research Intern @ Mila - Quebec AI Institute
    May 2025 - Present

    In Prof. Reihaneh Rabbany's Complex Data Lab, focusing on Graph ML, Temporal Graph Learning, and ML applications for Information Integrity.

    Student Research Assistant @ University of Copenhagen, Faculty of Law
    July 2024 - Present

    In Prof. Timo Minssen's Center for Advanced Studies in Bioscience Innovation Law (CeBIL), focusing on Health, Tech and AI Law.

    Research Assistant @ Genetic Discrimination Observatory
    March 2024 - September 2024

    International research observatory focusing on Genetic Discrimination.

    Research Assistant @ McGill University, Faculty of Law
    December 2022 - September 2024

    In Prof. Yann Joly's Centre for Genomics and Policy, focusing on Genetic Discrimination and Health & Tech Law.

    Research Intern @ Department of Computer Science (DIKU), University of Copenhagen
    May 2023 - June 2023

    In Prof. Boris Düdder's Software Engineering & Formal Methods Research Group, focusing on AI Ethics in Individualized Medicine.

    Research Intern @ Université Libre de Bruxelles
    February 2020

    In Prof. Fabienne Chétail's Centre for Research in Cognition & Neurosciences.

    Education

    Technical Project Manager @ McGill AI Society
    April 2024 - Present

    Supervising students of MAIS 202 - Accelerated Introduction to Machine Learning   and mentoring attendees of our Hackathons, for which I also act as Final Judge.

    AI Safety@ Mila - Quebec AI Institute
    Summer 2025

    Audited the course, taught by Prof. David Krueger.

    IOP Peer Review Excellence Course @ IOP Publishing
    March 2025
    Health and Life Science Law @ University of Copenhagen, Faculty of Law
    Fall 2024

    Audited and helped organize the course.

    Honours Computer Science @ McGill University

    CGPA of 3.7/4.0.

    Contact

    Email: [email protected]

    GitHub: @ekmpa

    LinkedIn: /in/emmakondrup