Hello there!

I'm a PhD student at Princeton University studying Computer Science.

My research interests include computational biology, bioinformatics, and machine learning. I'm especially interested in developing and using computational and statistical methods to better analyze, interpret, and understand genomic data. Previously I received a BA in Computer Science and Statistics (with a minor in Data Science) and an MS in Computer Science from Rice University, where I was advised by Professor Vicky Yao.

Recently, I have dived into some exciting experiences that have shaped my academic interests so far:

2021 - 2025: At the ylaboratory led by Dr. Vicky Yao at Rice University, I've been involved in helping craft a procedural knowledge dataset for single-cell papers and leveraging NLP techniques to analyze it. Additionally, I've delved into exploring how protein-protein interactions tie into alternative splicing events in cancer.

2021 - 2025: At The Center for Genome Architecture led by Dr. Erez Lieberman Aiden at the Baylor College of Medicine, I helped develop deep machine learning models for Hi-C and dual-plane microscopy data. I have also worked on building pipelines to connect homolog-specific differential expression in RNA-Seq to homolog-specific DNA mutations.

2021 - 2024: At OpenStax, a non-profit organization affiliated with Rice University whose mission is to improve educational access and learning for everyone, I collaborated with the research team on Kinetic: a large-scale research infrastructure to help researchers examine learning in digital learning environments and provide evidence-based learning strategies and other feedback to participants.