Polly Ren

Polly Ren

First-year MSE Student
Department of Computer Science
Princeton University

E-mail: pollyren@princeton.edu

Hello, world! I am a first-year master's student in the Department of Computer Science at Princeton University.

Broadly speaking, my research interests span the intersection of data and storage systems, computer architecture and machine learning. I also really enjoy teaching.

I graduated from the University of Chicago with a B.S. in Computer Science and a B.A. in Environment, Geography and Urbanization. I also received a Certificate in Chicago Studies.




Research

As an undergraduate, I worked with Professor Grant Ho on leveraging large language models and embedding-based techniques to systematically compare and contrast enterprise security guidance. Modern security standards are often too large to fit entirely within a model's context window, and prior research has shown that performance tends to degrade as input length increases. My computer science thesis explores these challenges, proposes a scalable comparison framework and demonstrates its efficacy through a case study on NIST Special Publication 800-53.

I have previously also been involved with computational biology research with Professor Esmael Haddadian. I ran simulations to model the dynamic behaviour of amyloid beta oligomers on self-assembled monolayers. I also experimented with the confinement of the proteins in water to accelerate aggregation and secondary structure formation. We submitted an abstract to the Biophysical Society 67th Annual Meeting, and I presented a poster at the 2023 University of Chicago Undergraduate Research Symposium.

While my primary academic focus is in computer science, I am also interested in transportation and urban mobility systems. My urban studies thesis, advised by Professor Crystal Bae, examined the relationship between bikeshare systems and public transportation in Chicago, New York City and Los Angeles. I presented a poster at the 2025 National Conference for Undergraduate Research and the 2025 University of Chicago Undergraduate Research Symposium. My thesis was also awarded an Exceptional BA Thesis Research Award, Honourable Mention by the Committee on Environment, Geography and Urbanization. My experience on this project has also motivated my curiosity about how data systems and intrastructure can be designed to better facilitate the use and integration of large-scale, heterogeneous data, especially in transportation and in computational social science.




Publications

This section is currently aspirational :)




Teaching

My teaching interests are primarily in introductory computer science and computer systems. I've enjoyed being a part of a number of interesting courses, listed below, during my time as a student. I was also a recipient of the 2025 Undergraduate Student Prize in Undergraduate Teaching at the University of Chicago.

Princeton University

University of Chicago

Miscellaneous




Service


Industry Experience

I've had the great opportunity to work on projects, ranging from data science to software engineering to high-performance computing, across a number of teams in industry, including MANIAC Lab, JPMorgan Chase & Co., the University of Chicago Research Computing Center, TourMe and the Federal Reserve Bank of Chicago.




Personal

When I'm away from my keyboard, I enjoy biking and running. I'm currently training for my first marathon: Salt Lake City 2026. I grew up in the San Gabriel Valley of the (mostly) sunny state of California. I was voted Most Competitive in middle school.