Zongchen Chen

Zongchen Chen is an Assistant Professor in the School of Computer Science at the Georgia Institute of Technology. He holds a PhD in Algorithms, Combinatorics and Optimization from Georgia Tech (2021) and a BS in Mathematics & Applied Mathematics from Shanghai Jiao Tong University (2016). Previously, he was an Assistant Professor at University at Buffalo and a postdoctoral instructor at MIT.

His research spans randomized algorithms, discrete probability, and machine learning, with current focus on:

• Markov chain Monte Carlo (MCMC) methods
• Approximate counting and sampling algorithms
• Learning/testing of high-dimensional distributions
• Phase transitions in combinatorial structures

His publication profile shows strong emphasis on:

• Mixing time analysis of Markov chains (13/15 papers)
• Combinatorial problems including k-SAT, graph colorings, and spin systems
• Theoretical computer science venues (STOC/FOCS/SODA/RANDOM)

Awards & Honors

• 2021 Outstanding Doctoral Dissertation Award, College of Computing, Georgia Tech

Teaching

• Spring 2025: CS 3510 Design and Analysis of Algorithms
• Fall 2024: CS 8803 Counting and Sampling
• Spring 2024: CSE 632 Analysis of Algorithms II (University at Buffalo)

Office: KACB 2134 | Email: chenzongchen@gatech.edu