Lin Yang

Lin Yang is an Assistant Professor in the Electrical and Computer Engineering Department at the University of California, Los Angeles (UCLA). His research focuses on reinforcement learning theory and applications, learning for control, non-convex optimization, and streaming algorithms.

Education:

• PhD in Computer Science and PhD in Physics & Astronomy - Johns Hopkins University (simultaneously)
• Bachelor's degree in Math and Physics - Tsinghua University

Research Interests:

His work spans reinforcement learning theory and its applications, particularly in learning for control systems. He also investigates non-convex optimization techniques and streaming algorithms for efficient data processing.

Scientific Awards:

• Dean Robert H. Roy Fellowship - Johns Hopkins University

Previous Positions:

Before joining UCLA, he was a postdoc at Princeton University working with Professor Mengdi Wang.