Presenting in the INFORMS 2026 Job Market Showcase
Presenting Stochastic Auto-conditioned Fast Gradient Methods with Optimal Rates in the Stochastic and Decentralized Optimization Job Market Showcase.
Co-organizing a Session on Stochastic Optimization for RL at INFORMS 2026
Co-organizing Recent Progress in Stochastic Optimization for Reinforcement Learning with Yan Li at the 2026 INFORMS Annual Meeting.
Co-organizing a Session on Stochastic Optimization at INFORMS 2026
Co-organizing New Advances in Stochastic Optimization, Theories and Methodologies with Hongcheng Liu at the 2026 INFORMS Annual Meeting.
Attending ColOpt 2026
Attended ColOpt 2026 at Lehigh University, including a funding-agencies session for early-career researchers.
Talk at MOPTA 2026
Gave a talk on Stochastic Auto-conditioned Fast Gradient Methods with Optimal Rates at MOPTA 2026, Lehigh University.
Co-organizing Two Sessions at MOPTA 2026
Co-organized and co-chaired two sessions on stochastic optimization and variational inequalities with Tianjiao Li at MOPTA 2026.
Poster at Southern California OR/OM Day
Presented a poster on Stochastic Auto-conditioned Fast Gradient Methods with Optimal Rates at SoCal OR/OM Day, USC Marshall.
Seminar at Clemson University
Gave a seminar at Clemson's School of Mathematical and Statistical Sciences on Stochastic Auto-conditioned Fast Gradient Methods with Optimal Rates.
Field Visit to Gwinnett County Wastewater Facility
Visited the Gwinnett County wastewater facility with collaborators, marking the start of a new project on reinforcement learning for environmental systems.