Emma Kondrup

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.

Member of the Regulatory & Ethics Work Stream (REWS) on Generative AI and Machine Learning @ Global Alliance for Genomics and Health (GA4GH)

February 2024 - Present

International collaborative group. Also a member of the REWS on Genetic Discrimination.

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.

Talks & teaching

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.

Reading Group Presenter: TGTalker @ Temporal Graph Reading Group

2025

Co-presented Are Large Language Models Good Temporal Graph Learners? with Shenyang Huang.

Workshop Presenter: Base3 @ KDD 2025

2025

Presented Base3: a simple interpolation-based ensemble method for robust dynamic link prediction at the Temporal Graph Learning Workshop @ KDD 2025.

Honours Thesis: Instant-Curry @ Conference of McGill's Epic Programming Language Systems

Winter 2025

Presented Instant-Curry: a Boundless Proof Auto-Grader for teaching Functional Programming Theory, project supervised by Prof. Jacob Errington.

Workshop Presenter: Python Libraries for Machine Learning @ MAIS Hackathon

2025

Led a workshop on Python Libraries for Machine Learning at the McGill AI Society's 2025 Hackathon (the largest AI hackathon in Canada!)

Guest Lecturer in Bioethics@ Université de Laval

2024

Presented in the MMO-7031 "Enjeux éthiques, sociaux et légaux en médecine génétique de précision" bioethics microcapsule.

Conference Presentation of GNDA Legal Analysis@ GDO's 5th Annual Conference (Panama)

2024

Co-presented The song remains the same? A comparative assessment of Canadian life insurance application forms post-GNDA with Yann Joly.

Media

Usbek & Rica Interviewed and quoted in the 43th edition on Genetic Discrimination.

Phys.org Press release on the 2023 “Still using Genetic Data?” article.

McGill Newsroom Press release on the 2023 “Still using Genetic Data?” article.

Education

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: emma.kondrup@mail.mcgill.ca

GitHub: @ekmpa

LinkedIn: /in/emmakondrup