I’m a BiDMaP fellow at University of California, Berkeley.

My research tackles the synthesizability and realism bottleneck in computational materials design by building physics-aware generative frameworks that integrate free-energy landscapes and kinetic pathways.

My goal is to close a central gap in AI-driven materials discovery: the absence of thermodynamic and kinetic realism in current data, models, and predictions.