Scholar
Yimeng Zeng
Google Scholar ID: OoVzXRYAAAAJ
PhD Student, University of Pennsylvania
Citations & Impact
Citations
204
H-index
5
i10-index
2
Publications
11
Co-authors
15
list available
Publications
Resume (English only)
Research Experience
- Conducting doctoral research at the University of Pennsylvania, focusing on developing methods that combine large language models and Bayesian optimization, applied to natural science research (e.g., peptide/protein sequence design) and system challenges (e.g., database query optimization).
Education
- PhD: University of Pennsylvania, Department of Computer and Information Science, advised by Jacob Gardner and Osbert Bastani; B.S.: Cornell University, double major in Computer Science and Mathematics.
Background
- A fourth-year PhD student in the Department of Computer and Information Science at the University of Pennsylvania. Research interests include probabilistic machine learning, Bayesian optimization, and generative modeling. His work combines large language models with principled optimization for open-ended design problems, such as peptide/protein sequence design and database query optimization.
Miscellany
- Personal homepage links to GitHub, Google Scholar, X (Twitter), LinkedIn, etc.
