Resume
Research Experience
- Part of an interdisciplinary research team across three universities studying algorithmic and physical foundations of collective behaviors (e.g., fish schooling, ant rafting/bridging)
- Focused on applying naturally occurring emergent phenomena to programmable matter
- Research expertise spans distributed algorithms, stochastic processes, robotics, and soft matter
- Studies Self-Organizing Particle Systems (SOPS) through theory/proofs, modeling, simulation, and physical experiments
- Collaborates between Arizona State University and Paderborn University on SOPS under the amoebot model from a distributed computing theory perspective
- Collaborates among Arizona State University, Georgia Tech, MIT, and Northwestern University on harnessing phase transitions and Markov chain analysis to induce emergent behavior in simple analog robots
- Collaborates among Arizona State University, TU Berlin, and UIUC on designing approximation algorithms for hard network optimization problems with provable guarantees