Hi, my name is Andrew! I’m a first-year PhD student in Biomedical Data Science at Stanford University where I am advised by James Zou. I’m fortunate to be supported by the NSF Graduate Research Fellowship. I am broadly interested in problems at the intersection of AI and Science/Medicine, but I’m currently working on improving autonomous scientific discovery. Before I started my PhD, I worked with some amazing advisors including Marinka Zitnik, Joshua Glaser, Heather Moss, Melissa Gymrek, and Kavita Sarin.
Education
- PhD in Biomedical Data Science, 2025–
Stanford University - MS in Artificial Intelligence, 2024
Northwestern University - BS in Bioinformatics, 2023
UC San Diego
Selected Papers
- Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models
Yasha Ektefaie*, Andrew Shen*, Lavik Jain, Maha Farhat, Marinka Zitnik. Advances in Neural Information Processing Systems (NeurIPS), 2025. - Evaluating generalizability of artificial intelligence models for molecular datasets
Yasha Ektefaie, Andrew Shen, Daria Bykova, Maximillian G. Marin, Marinka Zitnik, Maha Farhat. Nature Machine Intelligence, 2024.
Get in touch
If you are interested in our work or would like to collaborate, please reach out via email!
I am also currently looking for motivated students with a strong computational background to work on research in AI for Science/Medicine. If you’re interested, please email your resume to ashen7@stanford.edu.