Bio

I am a second year Ph.D. student in EECS at Berkeley, advised by Kannan Ramchandran and supported by an NSF Graduate Research Fellowship. Previously, I completed my Master's in Data Science and my Bachelor's in Systems Engineering at the University of Pennsylvania, where I researched under the supervision of Alejandro Ribeiro. My research lies at the intersection of machine learning, signal processing, and game theory, inspired by applications in market design and transportation.

Publications

Convolutional Learning on Multigraphs
IEEE Transactions on Signal Processing, 2023
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Landon Butler, Alejandro Parada-Mayorga, and Alejandro Ribeiro
Convolutional Filtering and Neural Networks with Non-Commutative Algebras
IEEE Transactions on Signal Processing, 2023
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Alejandro Parada-Mayorga, Landon Butler, and Alejandro Ribeiro
Equitable Optimization of U.S. Airline Route Networks
Computers, Environment and Urban Systems, 2023
Andrew P. Sage Memorial Conference, 2022
Arnav Joshi, Andy Eskenazi, Landon Butler, and Megan Ryerson
Best Paper Award in Climate and Transportation (Sage)
Democratizing Aviation Emissions Estimation: Development of an Open-Source, Data-Driven Methodology
International Conference on Research in Air Transportation (ICRAT), 2022
Andy Eskenazi, Landon Butler, Arnav Joshi, and Megan Ryerson
Best Paper Award in Economics, Policy, and Equity
Learning Connectivity for Data Distribution in Robot Teams
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
Ekaterina Tolstaya, Landon Butler, Daniel Mox, James Paulos, Vijay Kumar, and Alejandro Ribeiro