I am attending Neurips in San Diego and looking for research scientist and postdoc positions

Short Bio

I am a final year Ph.D. student at Arizona State University advised by Angelia Nedić and Lalitha Sankar. My research lies at the intersection of optimization, game theory, and machine learning, where I develop efficient and adaptive methods under weaker, more realistic assumptions arising in modern machine learning. My recent works provide new insights into the class of ($𝐿_0, 𝐿_1$)-smooth functions and introduce efficient algorithms achieving the best-known complexity bounds for optimization and equilibrium problems. These results have been published at leading A* venues such as ICLR, ICML, and TMLR. I am particularly interested in game-theoretic perspectives on multi-agent reinforcement learning and strategic foundation models. Prior to graduate school, I was a winner of the state stage of the Russian Olympiad in Mathematics and participated in the national final round, which sparked my early passion for mathematical problem solving. Alongside my academic research, I work as an Applied Scientist Intern at Amazon, developing efficient machine learning systems for large-scale training and inference, including speculative decoding and pruning