I am a PhD student in Computer Science at Stanford, advised by Prof. Brian Hie at the Laboratory of Evolutionary Design and Prof. Christopher Ré at Hazy Research. I work on AI for biology, and some of the questions I am currently interested in are:

• Along which axes should we scale models to better design and predict biology?
• How should domain-specific models and natural language models interact to meet biological design and discovery goals?
• How can we build robust “lab in the loop” frameworks to accelerate progress?

Feel free to reach out at dnori [at] stanford.edu

Past

Prior to my PhD, I completed my SB and MEng in EECS at MIT where I became interested in generative biology. My first undergraduate research experience, advised by Prof. Connor Coley, piqued my interest in algorithms for molecular design. I then spent three years at the Broad Institute’s Eric and Wendy Schmidt Center, where I was fortunate to be advised by Profs. Wengong Jin and Caroline Uhler, developing generative methods for RNA and protein design.

Outside of academia, I gained ML engineering experience through internships at D. E. Shaw Research, Absci, and Microsoft Research. I was also a co-organizer of the ML Protein Engineering Seminar Series.