Writing
Notes from the work: derivations, papers, and things I had to figure out the long way.
2025
- The Architecture of Discovery: Multi-Objective Diffusion for Spatial ProteomicsMy journey from blurry pixel-diffusion to a multi-objective Latent Model that learns biological plausibility through protein-to-protein translation.
- SurgWM: Learning Physics from Unlabeled Surgical VideoBuilding the first surgical vision world model that enables action-controllable generation without expensive action labels.
2024
- From Scratch: Deriving Policy GradientsBridging the gap between basic MDPs and the math behind PPO/A3C. Why the 'Log-Derivative Trick' is the engine of modern RL.
- Reasoning in the Dark: ISMCTS for Imperfect InformationWhy standard Monte Carlo Tree Search fails in card games, and how Information Set MCTS solves the hidden information problem.