I'm an Applied AI/ML engineer with a background in computational physics, probabilistic modeling, and simulation-based inference. I build and deploy ML systems that operate under uncertainty — from scientific inference pipelines to production models in high-stakes decision environments.
Currently at Inigo, working on ML systems for risk and pricing in Lloyd's of London markets. Joining the Applied AI/ML team at JPMorgan Chase (CIB) later this year.
- 🎓 PhD in Physics (Stony Brook) — specializing in CMB cosmology, Bayesian inference, and generative models
- 🔬 Former postdoc at University of Cambridge (DAMTP / Kavli Institute for Cosmology)
- 💼 Previously built end-to-end ML systems for risk and pricing at Inigo (Lloyd's of London market)
- 🌍 Based in London
- World models & robotics
- Probabilistic modeling & simulation-based inference
- Generative AI and multimodal systems
- Reinforcement learning and decision theory
- Bridging research and production ML systems