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Owen Queen

owencqueen.github.io · 494 words · saved by 1 readers

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. 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. 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 mathemat

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: AI Scientists: How do we build and train better AI systems to accelerate discovery? Why haven't any "AI scientists" made impactful discoveries yet? Evaluation: When, where, how does AI make mistakes in scientific reasoning? Can we characterize and define these gaps? Scientific rigor in the age of automation: How do we evaluate AI-generated research? How do we…

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