Research Interests
I am broadly interested in applying mathematics to difficult real-world problems. My work applies domains like scientific computing, optimization, operations research, and data science — with applications spanning such fields as cheminformatics, energy market modelling, production scheduling, and health data privacy.
Papers & Preprints
- Multi-Objective Reinforcement Learning for Generating Covalent Inhibitor Candidates arXiv
2026
- Graph Neural Networks for Identifying Protein-Reactive Compounds Journal
2024 · Digital Discovery
Also presented at
Conference2023 · NeurIPS 2023
- cclib 2.0: An updated architecture for interoperable computational chemistry. Journal
2024 · Journal of Chemical Physics
Teaching
- EPI 6101 — Course Lectures on Neural Networks
2024 – present · University of Ottawa