- On the Connection Between Reinforcement Learning and Gradient Descent, Purdue University, Summer 2022, ~70 minutes
- Efficient Stabilization of Pandemics, NSF Predicting Pandemics Workshop, ~30 minutes
- Asymptotic Network Independence in Distributed Optimization, MIT, Dec 2020, ~70 minutes
- Graph Resistance and Learning from Pairwise Comparisons, ICML, June 2019, ~20 mins.
- Convergence Times in Decentralized Optimization, DIMACS Workshop on Distributed Optimization, Learning, and Signal Processing, August 2017, ~40 mins.