ACO PhD student, Georgia Tech
I am a fourth-year PhD student in the Algorithms, Combinatorics, & Optimization (ACO) program at Georgia Tech. I did my undergrad in Electrical & Computer Engineering, also at Georgia Tech.
I am fascinated by the study of intelligence, both biological and artificial. My research on this topic focuses on a few questions:
Outside of research I love music, which is doubtlessly thanks to many years of training in piano performance and composition at the Suzuki Music Institute of Dallas where I studied with Dr. Bret Serrin. I also enjoy cooking, reading (science fiction & world history in particular), and the great outdoors.
Finally, I organize the ACO Student Seminar. Contact me if you’re interested in giving a talk!
Computation with sequences of assemblies in a model of the brain
with Christos Papadimitriou & Santosh Vempala
Aligning latent representations of neural activity
with Konrad Kording & Eva Dyer
with Ran Liu, Mehdi Azabou, Jingyun Xiao, & Eva Dyer
Assemblies of neurons learn to classify well-separated distributions (Presentation recording)
with Christos Papadimitriou & Santosh Vempala
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
with Ran Liu, Mehdi Azabou, Chi-Heng Lin, Mohammad Gheshlaghi Azar, Keith Hengen, Michal Valko, & Eva Dyer
Mine your own view: Self-supervised learning through across-sample prediction
with Mehdi Azabou, Ran Liu, Keith Hengen, Eva Dyer, et al.
Learning with plasticity rules: Generalization and robustness
with Rares Cristian, Christos Papadimitriou, & Santosh Vempala
Barycenters in the brain: An optimal transport approach to modeling connectivity
with Eva Dyer
Hierarchical optimal transport for multi-modal distribution alignment
with John Lee, Eva Dyer, & Chris Rozell
[first][last]@gatech[dot]edu