I am a first-year PhD student in Computer Science at Princeton University. Professor Wyatt Lloyd and I are tackling interesting research problems spanning distributed systems, databases, and computer networks.
Prior to attending Princeton, I earned a Master’s in Computer Science at Carnegie Mellon University, where I was fortunate to be co-advised by Srini Seshan and Vyas Sekar. I also spent a few years in industry, and before that, I earned my BA from Amherst College with a double major in Computer Science and Economics.
I help organize Princeton’s Systems Lunch Seminar. If you are interested in giving a talk, please send me an email.
Alembic: Automated Model Inference for Stateful Network Functions
Soo-Jin Moon, Jeffrey Helt, Yifei Yuan, Yves Bieri, Sujata Banerjee, Vyas Sekar, Wenfei Wu, Mihalis Yannakakis, Ying Zhang
In Proc. 16th USENIX NSDI, 2019
- TA for 15-386/686: Neural Computation. Spring 2017
- TA for COSC-161: Computer Systems I. Fall 2012
- TA for COSC-111: Intro. to Computer Science I. Fall 2010, Spring 2011, Fall 2012
- Computer Science Teacher for Code Nation. Fall 2014–Spring 2016