cv
Basics
| Name | Daniel Levy |
| Label | Machine Learning PhD Student |
| danieltlevy@gmail.com | |
| Summary | Machine Learning PhD student at McGill and Mila focused on generative AI, graph neural networks, and applications to physics, materials science, and chemistry. Theory-informed development of ML models and practical implementations; background in physics research and software engineering. |
Education
-
2022.09 - Present Montreal, QC
-
2020.09 - 2022.08 Montreal, QC
-
2014.09 - 2019.05 Vancouver, BC
Work
-
2019.09 - 2020.08 Vancouver, BC
Software Development Engineer
Amazon
Developed and maintained highly critical tax-related services used across Amazon.
- Owned full software lifecycle with emphasis on continuous deployment, performance, scalability, and availability.
-
2019.05 - 2019.08 Toronto, ON
NSERC USRA Research Intern
University of Toronto, Department of Physics (ATLAS group)
Investigated a novel approach to Higgs boson tagging as part of an LHC search for exotic particles.
-
2018.05 - 2018.08 Vancouver, BC
Software Developer Intern
Thoughtexchange
Full stack development for Thoughtexchange app.
- Implemented an NLP algorithm to sort users.
- Built APIs to support moderation and phone number authentication.
-
2017.09 - 2017.12 Vancouver, BC
Analysis and Prototyping Software Engineer Intern
Thoughtexchange
Developed ML-based methods to discover and classify common use patterns; designed interactive visualizations to guide app development.
-
2017.01 - 2017.08 Vancouver, BC
Research Intern
TRIUMF
Analyzed gamma-ray spectra to evaluate nuclear structure in a Coulomb excitation experiment.
- Calibrated detectors and supervised experimental shifts.
Publications
-
2025 LeMat-GenBench: Bridging the gap between crystal generation and materials discovery
NeurIPS Workshop on AI for Accelerated Materials Design
-
2025 -
2024 Symmetry-Aware Generative Modeling through Learned Canonicalization
NeurIPS 2024 Workshop on Symmetry and Geometry in Neural Representations
-
2024 -
2023 Molecular fragment-based diffusion model for drug discovery
ICLR 2023 Workshop on Machine Learning for Drug Discovery
-
2023 Using Multiple Vector Channels Improves E(n)-Equivariant Graph Neural Networks
ICML 2023 Workshop on Machine Learning for Astrophysics
Awards
- 2023.01
- 2021.01
- 2019.01
- 2015.01
UBC Trek Excellence Scholarship for Continuing Students
University of British Columbia
Top 5% of faculty (2015, 2016, 2018)
- 2014.01
- 2015.01
- 2018.01
UBC Computer Science Scholarship
University of British Columbia
Awarded for academic excellence in Computer Science (2018)
- 2018.01
Dorothy Gladys Studer Memorial Scholarship
University of British Columbia
Highest standing among 3rd-year physics students (2018)
- 2018.01
Dean of Science Scholarship
University of British Columbia
Awarded for outstanding academic achievement (2018)
- 2017.01
Charles and Jane Banks Scholarship
University of British Columbia
Awarded for academic distinction (2017)
- 2016.01
J. Fred Muir Memorial Scholarship in Science
University of British Columbia
Awarded for academic excellence in Science (2016)
- 2016.01
Thomas and Evelyn Hebb Memorial Scholarship
University of British Columbia
Awarded for outstanding achievement in Physics (2016)
Skills
| Machine Learning | |
| Graph Neural Networks | |
| Generative Modeling | |
| 3D Equivariant GNNs | |
| Diffusion Models | |
| Flow Matching |
| Research Domains | |
| Materials Discovery | |
| Crystallography | |
| Drug Discovery | |
| Physics Simulations |
| Programming | |
| Python | |
| PyTorch | |
| Java | |
| JavaScript | |
| C++ | |
| Pandas | |
| NumPy |
Volunteer
-
2023.01 - 2023.12 Speaker
Cosmic Connections: a ML × Astrophysics Symposium (Simons Foundation)
Presented a talk on ML and astrophysics.
-
2022.01 - 2025.12 Reviewer
Peer Review (ICLR, ICML, NeurIPS workshops)
Reviewer for ICLR 2022 Blog Track; ICML 2023 ML4Astro Workshop; NeurIPS 2023 & 2025 AI for Accelerated Materials Design; NeurIPS 2025 & ICLR 2025 Frontiers in Probabilistic Inference Workshop.
-
2016.01 - 2016.12 Teaching Assistant (CPSC 121: Models of Computation)
University of British Columbia
TA for undergraduate course CPSC 121.