Hi! I am Siddharth Chandak. I recently completed my Ph.D. in Electrical Engineering at Stanford University and will be joining Apple as a Machine Learning Engineer.

During my Ph.D., I was advised by Prof. Nick Bambos and was fortunate to collaborate with Prof. Vivek S. Borkar from IIT Bombay and Prof. Ilai Bistritz from Tel Aviv University. Prior to this, I completed my B.Tech. in Electrical Engineering from IIT Bombay (India) in 2021, winning the President of India Gold Medal.

Research Interests

My Ph.D. focused on the two areas below. I remain interested in these areas and continue to pursue them as an independent researcher together with my collaborators.

Multi-Agent Learning and Control: My research focuses on multi-agent systems and games, with an emphasis on developing algorithms for distributed learning of equilibria for unknown systems. I also study problems in game control, where the aim is to steer players toward equilibria that satisfy both the local and global objectives.

Stochastic Approximation and Reinforcement Learning: I am interested in developing new frameworks for stochastic approximation schemes which enable the design and analysis of algorithms in optimization and reinforcement learning. In addition, I work on obtaining tighter finite-time guarantees for reinforcement learning algorithms.

Teaching

Teaching and mentorship were an important part of my Ph.D. I served as the instructor for ENGR 76 (Information Science and Engineering) at Stanford in Winter 2026. This course introduces undergraduate students to the fundamental principles underlying modern information and communication systems, including source coding, frequency-domain representations, and error-correcting codes. Check out the course materials I developed.

Previously, I served as the head TA for ENGR 76 in Spring 2024 and 2025, supporting a class of approximately 300 students each year. I was also a TA for courses such as Linear Dynamical Systems (EE 263), Game Theory (MS&E 232), and Information Networks & Services (MS&E 130) at Stanford, and an undergraduate TA for several Math and Physics courses at IIT Bombay.