Milind Nakul

I am a fourth-year Ph.D. student in Machine Learning at the H. Milton Stewart School of Industrial and Systems Engineering, Georgia Tech, where I am fortunate to be advised by Prof. Ashwin Pananjady and Prof. Vidya Muthukumar. Before this, I completed my B.Tech. and M.Tech. in Electrical Engineering at IIT Kanpur, where I wrote my master’s thesis on momentum-based variance reduced algorithms for imitation learning, advised by Prof. Ketan Rajawat.

My research interests lie at the intersection of high-dimensional statistics, optimization, and reinforcement learning. I am particularly passionate about developing theoretically motivated algorithms to address fundamental challenges in these fields. Recently, my work has focused on techniques that enable effective learning from dependent data:

• Distribution estimation from dependent samples
• Stochastic optimization for statistical and machine learning
• Policy evaluation in reinforcement learning

In Summer 2026 I was a PhD Research Intern at Dolby Laboratories, where I worked on pruning and compression of large language models.