Publications
Peer-reviewed research and preprints.
GraphBSI: Discrete Bayesian Sample Inference for Graph Generation
2026-04 · ICLR 2026
First-author ICLR 2026 paper introducing GraphBSI, a one-shot graph generative model based on Bayesian Sample Inference. Achieves state-of-the-art molecular and synthetic graph generation on the Moses and GuacaMol benchmarks, with ~12 GPU-months of experiments in PyTorch.

Algorithmic Predation: Equilibrium Analysis in Dynamic Oligopolies
2025-10 · CIST 2025
Co-authored work that uses deep reinforcement learning (PPO) to compute and verify equilibria in finite-horizon dynamic oligopoly games, showing predatory pricing can emerge as a rational equilibrium strategy under asymmetric costs.