Thanks for visiting my website – so nice to meet you :D

About me

My name is Jane. I’m a first year PhD student at New York University, where I am advised by He He and Sam Bowman. I study machine learning, specializing in natural language processing. Broadly, I’m interested in better understanding and usage of large language models, including in-context learning and human-AI collaboration. I am fortunate to be supported by the NSF Graduate Research Fellowship and a DeepMind Fellowship.

Previously, I completed my Master’s at Princeton University, where I was advised by Danqi Chen. I worked in the Princeton NLP Group and was named a Siebel Scholar by the Princeton Department of Computer Science. I graduated magna cum laude from Columbia University with a B.S. in Applied Mathematics, where I was a Davis Scholar working with Chunhua Weng on NLP for the biomedical domain. Before I dived into NLP research, I worked in quantitative finance and data science at Morgan Stanley and Acadian Asset Management.

I love teaching mathematics, especially proof-based courses or courses related to machine learning. At Princeton, I was the Head TA for introductory machine learning (COS 324) and also taught introductory theoretical computer science (COS 340/240). At Columbia, I taught Artificial Intelligence (COMS 4701) and Discrete Mathematics (COMS 3203).

In my free time, I enjoy reading and writing; my favorite author is John Steinbeck, and I am highly interested in the work of modernist poets like Wallace Stevens and T.S. Eliot. My latest hobbies include baking and hand embroidery.