Personal profile
Education/Academic qualification
Doctor of Science, Architectures and learning algorithms for data-driven decision making, University of British Columbia
Award Date: 30 Apr 2021
External positions
Research Unit Lead, Valence Labs
1 Apr 2023 → …
Areas of expertise
- QA75 Electronic computers. Computer science
- Machine learning
- Causal inference
- Causal Machine Learning
- Representation Learning
Keywords
- causal inference
- representation learning
- Deep Learning
- AI in Science
Fingerprint
- 1 Similar Profiles
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Efficient Biological Data Acquisition through Inference Set Design
Neporozhnii, I., Roy, J., Bengio, E. & Hartford, J., 11 Feb 2025, (E-pub ahead of print) 13th International Conference on Learning Representations.Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
Open Access -
Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control
Jiralerspong, T., Earnshaw, B., Hartford, J., Bengio, Y. & Scimeca, L., 14 Feb 2025, arXiv, p. 1-11, 11 p.Research output: Preprint/Working paper › Preprint
Open AccessFile52 Downloads (Pure) -
Virtual Cells: Predict, Explain, Discover
Noutahi, E., Hartford, J., Tossou, P., Whitfield, S., Denton, A. K., Wognum, C., Ulicna, K., Craig, M., Hsu, J., Cuccarese, M., Bengio, E., Beaini, D., Gibson, C., Cohen, D. & Earnshaw, B., 20 May 2025, arXiv, p. 1-26, 26 p.Research output: Preprint/Working paper › Preprint
File80 Downloads (Pure) -
ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy.
Kenyon-Dean, K., Wang, Z. J., Urbanik, J., Donhauser, K., Hartford, J., Saberian, S., Sahin, N., Bendidi, I., Celik, S., Vera, J. S. R., Fay, M., Haque, I. S. & Kraus, O., 2025, ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy.. Proceedings of the 42nd International Conference on Machine Learning: Proceedings of Machine Learning ResearchResearch output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
Open Access -
A novel and efficient machine learning Mendelian randomization estimator applied to predict the safety and efficacy of sclerostin inhibition
Legault, M.-A., Hartford, J., Arsenault, B. J., Yang, A. Y. & Pineau, J., 9 Feb 2024, Cold Spring Harbor Laboratory Press, (medRxiv).Research output: Preprint/Working paper › Preprint
Projects
- 1 Active
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MCAIF: Centre for AI Fundamentals
Kaski, S. (PI), Alvarez, M. (Researcher), Pan, W. (Researcher), Mu, T. (Researcher), Rivasplata, O. (PI), Sun, M. (PI), Mukherjee, A. (PI), Caprio, M. (PI), Sonee, A. (Researcher), Leroy, A. (Researcher), Wang, J. (Researcher), Lee, J. (Researcher), Parakkal Unni, M. (Researcher), Sloman, S. (Researcher), Menary, S. (Researcher), Quilter, T. (Researcher), Hosseinzadeh, A. (PGR student), Mousa, A. (PGR student), Glover, E. (PGR student), Das, A. (PGR student), DURSUN, F. (PGR student), Zhu, H. (PGR student), Abdi, H. (PGR student), Dandago, K. (PGR student), Piriyajitakonkij, M. (PGR student), Rachman, R. (PGR student), Shi, X. (PGR student), Keany, T. (PGR student), Liu, X. (PGR student), Jiang, Y. (PGR student), Wan, Z. (PGR student), Harrison, M. (Support team), Hartford, J. (PI), Kangin, D. (Researcher), Harikumar, H. (PI), Dubey, M. (PI), Parakkal Unni, M. (PI), Dash, S. P. (PGR student), Mi, X. (PGR student), Barlas, Y. (PGR student), Osho, T. (Support team) & Tariq, M. (Support team)
1/10/21 → 30/09/26
Project: Research