CGBench: Benchmarking Language Model Scientific Reasoning for Clinical Genetics Research
Neural Information Processing Systems (NeurIPS) · 2025
Hello! I'm Owen, a computer science Ph.D. student and Knight-Hennessy Scholar at Stanford, advised by James Zou. I study how we can AI can help us solve big scientific problems.
Some of the things I'm interested in right now:
I did my undergrad at the University of Tennessee, Knoxville, and I previously worked with Marinka Zitnik at Harvard Medical School as a research associate.
I've had the pleasure of working on using AI to do cool science in diverse domains, from designing new polymer materials to nominating new targets for multiple sclerorsis to predicting geographic coordinates of poplar trees just from their genomes.
Updates
Selected work
Neural Information Processing Systems (NeurIPS) · 2025
bioRxiv · 2025
ProCyon is an 11B-parameter model that predicts and generates protein phenotypes across molecular and therapeutic scales, enabling transfer to poorly characterized proteins.
Neural Information Processing Systems (NeurIPS) · 2023
TimeX learns interpretable surrogate masks that mirror predictor behavior through a novel consistency loss, delivering faithful explanations for time-series models.