Ethan Lin
Incoming CMS PhD Student at Caltech
I am an incoming CMS PhD student at Caltech advised by Yisong Yue . I'm broadly interested in AI for scientific discovery, currently focused on leveraging agents for automating bottlenecks in scientific analysis pipelines. Previously, I received my B.S. in Computer Science at Cornell University, where I was fortunate to be advised by Jennifer J. Sun .
News
Joined the BeeryLab at MIT as a visiting researcher.
Presenting Simple Agents at CVPR 2026.
Graduated from Cornell University.
Won Best Poster Award at the Visual Concepts Workshop @ CVPR 2025 !
Publications
Selected papers and ongoing research.
AgentSSL: Can MLE Agents Leverage Unlabeled Data?
E. Lin* , A. Sarkar*, Z. Liu, K. Branson, J. J. Sun
A case study of evaluating AI agents on a neuroscience data-to-discovery pipeline
K. A. Horstmann, E. Lin , A. A. Robie, J. J. Sun, K. Branson
WildFin: An In-the-Wild Video Dataset from Underwater Ecology Pipelines
A. Grassick*, J. T. Hsu*, E. Lin* , Z. Liu, M. Whitton, M. Hair, L. Gutierrez, H. Yu, K. Branson, V. Jayaraman, M. A. Gil, A. M. Hein, J. J. Sun
Simple Agents Outperform Experts in Biomedical Imaging Workflow Optimization
X. Wang, K. A. Horstmann, E. Lin , J. Chen, A. R. Farhang, S. Stiles, A. Sehgal, J. Light, D. Van Valen, Y. Yue, J. J. Sun
Beyond Accuracy: Metrics that Uncover what Makes a 'Good' Visual Descriptor
E. Lin , L. Zhao, A. Sehgal, J. J. Sun
Teaching
CS 4782: Introduction to Deep Learning
CS 4620: Introduction to Computer Graphics
CS 3780: Introduction to Machine Learning
CS 2110: Object-Oriented Programming and Data Structures
Awards
- CRA Outstanding Undergraduate Researcher Award Honorable Mention 2025-2026
- Best Poster Award at Visual Concepts Workshop @ CVPR 2025 2025
- Cornell Dean's List All Semesters