I am a first-year PhD student in Computer Science at Columbia University, where I am fortunate to be advised by Augustin Chaintreau and Cliff Stein. I am currently interested in the general realms of {causal inference, fairness, redistricting, and social networks}. Other things I think are cool include {sampling, spatial data, learning theory, online graph algorithms, electoral dynamics, and AI regulation}.
Prior to Columbia, I spent one year as a staff researcher at Duke Unviersity, working with Jonathan Mattingly and Greg Herschlag on using hierarchical MCMC methods to sample Congressional districting plans. I did my undergrad at Carnegie Mellon University (CMU), where I got concentrations in Algorithms & Complexity and Robotics and worked with Anupam Gupta on online perfect matchings with deadlines. Before that, I spent a summer at NASA's Ames Research Center and a few semesters working in the Biorobotics lab at CMU.
Outside of work, I enjoy drawing (I post my work on Instagram), hiking, and playing board games (recent favorites: Ark Nova, Concordia, Wingspan).
I am supported by the NSF Graduate Research Fellowship.
Publications, Preprints
- Drawing Competitive Districts in Redistricting (in submission)
- Multiscale Parallel Tempering for Fast Sampling on Redistricting Plans.
Gabriel Chuang, Gregory Herschlag, Jonathan Mattingly. [arxiv link] - Acoustic Imaging Aboard the International Space Station (ISS): Challenges and Preliminary Results.
Luca Bondi, Gabriel Chuang, Chris Ick, Dave Adarsh, Charles Shelton, Brian Coltin, Trey Smith, Samarjit Das
2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) [link] - Autonomous Decentralized Shape-Based Navigation for Snake Robots in Dense Environments.
Guillaume Sartoretti, Tianyu Wang, Gabriel Chuang, Qingyang Li, Howie Choset.
2021 IEEE International Conference on Robotics and Automation (ICRA) [link]
Teaching
I find great joy in teaching undergrad-level CS to students new to formal mathematics, especially topics that have to do with discrete math, proofs, and Functional Programming. I have TA'd in the following capacities:
- S24: Columbia COMS 42223: Networks, Crowds, and the Web
- S23: Duke MATH 560: Algorithms
- S22: CMU 15-150: Functional Programming
- F21: CMU 15-151: Mathematical Foundations for CS (Head TA)
- S21: CMU 15-150: Functional Programming
- F20: CMU 15-151: Mathematical Foundations for CS
- S20: CMU 15-150: Functional Programming
- F19: CMU 15-151: Mathematical Foundations for CS
Contact
gtc2117 [at] columbia [dot] edu, Google Scholar, LinkedIn