Anand Siththaranjan

Anand is a second year graduate student advised by Stuart Russell and Claire Tomlin. He is interested in leveraging ideas from control theory, learning, and economics as a means of creating principled, beneficial AGI. In particular, he hopes to develop a theoretical foundation for said intelligent systems such that they may efficiently achieve tasks in uncertain environments, and collaborate both effectively and safely with other agents and humans.

In his undergraduate degree, which was completed at UC Berkeley, his research interests focused on human-robot interaction, robust machine learning and learning-based control.