About

Bojun Feng is a student at the University of Chicago, majoring in Computational and Applied Mathematics with an expected graduation in June 2025. His academic focus is on data science and machine learning, with a strong emphasis on practical application and research. He also likes to build serverless fulls stack projects in his free time.

He is currently performing research at the EMK Laboratory, where he is applying deep learning models and topological data analysis to identify and cluster rodent behavior.

He worked with large generative models in his internship at Xorbits AI, adding integrations for ChatGLM models to the Xinference project. During the two months of his internship, he followed Xinference from 0 to 800 stars on GitHub.

In his personal life, Bojun is an avid practitioner of Brazilian Jiu-Jitsu, enjoys playing fingerstyle guitar, and is proficient in magic performance, particularly in close-up card magic. He is fluent in both English and Mandarin Chinese.