Hello! I’m a computer science Ph.D. student and Knight-Hennessy Scholar at Stanford University, working on how we can build better foundation models for biomedicine.

Research focus

I am interested on building powerful and practical AI for scientific applications. First, my interests are in studying and enabling emergent properties in AI systems for scientific applications. This work involves training general foundation models that can perform task and data transfer across domains and under distribution shifts. Second, I want to build AI systems that can practically interact with scientists, increasing transparency and interpretability of complex reasoning systems used by AI systems to present new hypotheses. I strive to tackle the most challenging problems in biomedicine, with applications in drug discovery and personalized medicine.

Bio

I grew up in Watertown, TN and earned my Bachelor’s of Science from the University of Tennessee, Knoxville (UTK) in May 2022 with majors in computer science and mathematics and a minor in statistics. I worked with several great mentors at UTK, including Christopher Strickland, Vasileios Maroulas, Kostas Vogiatzis, and Scott Emrich. I am a recipient of the 2021 Barry Goldwater Scholarship and an alumnus of the Summer Institute of Biomedical Informatics at Harvard Medical School.

Before starting my Ph.D., I worked for two years as a research associate under the guidance of Marinka Zitnik. During my time at HMS, I worked on several impactful projects like GraphXAI, TimeX, and ProCyon.