I'm a scientific ML leader and entrepreneur with a background in theoretical physics. I co-founded the Toronto-based biotech ProteinQure, where I lead the scientific ML team and help build a ML-driven platform for protein and peptide therapeutics (think 3D CAD for molecules). I also co-founded the Quantum Open Source Foundation (QOSF).

My work focuses on generative models for proteins and peptides, molecular property prediction, multi-property optimization, and scalable production ML systems for drug discovery. At ProteinQure, I work closely with a multidisciplinary team on proprietary ML models for peptide drug delivery and discovery, spanning model development, optimization, experimental validation and real-world experimental integration.

Technically, I spend time on diffusion-based generative models (e.g. RFDiffusion, BindCraft) with steering & guidance, multi-objective optimization algorithms such as Monte Carlo Tree Search or evolutionary algorithms (using deap), Bayesian optimization, and custom ML tooling for scientific workflows. My MSc research explored learning curves of quantum kernel machines, using quantum–classical hybrid models built with built with PennyLane and TensorFlow Quantum.

Quick facts:

• 💬 Ask me about scientific ML, protein design, drug discovery, Python, quantum computing, and open-source software
• 📫 Talk to me via [email protected]
• ⚡ Fun fact: I like climbing frozen waterfalls in the middle of winter.

Snapshot:

• 💻 My current favourite open source project is AtomWeaver, an inverse folding model for peptide design
• 🌱 I’m currently learning: how to complete an Ironman, modular synthesis, Vietnamese
• 👯 I’m looking to collaborate on Protein Drug Discovery and Quantum Open Source Software
• ⌨️ My work setup consists of: Warp Terminal + herdr + voxtype
• 📖 I’m currently reading Pachinko and Crooked Teeth
• 🚐 I’m currently competing in triathlons and making music on my modular synthesizer