Emma Brunskill

Assistant Professor, Computer Science
Stanford University
ebrun at cs dot stanford dot edu

My goal is to increase human potential through advancing interactive machine learning. Revolutions in storage and computation have made it easy to capture and react to sequences of decisions made and their outcomes. Simultaneously, due to the rise of chronic health conditions, and demand for educated workers, there is an urgent need for more scalable solutions to assist people to reach their full potential. Interactive machine learning systems could be a key part of the solution. To enable this, my lab's work spans from advancing our theoretical understanding of reinforcement learning, to developing new self-optimizing tutoring systems that we test with learners and in the classroom. Our applications focus on education since education can radically transform the opportunities available to an individual.

Interested students: Unfortunately I am unable to respond to most emails about openings for internships, graduate and postdoctoral positions in my group. Admission decisions are made at the department level so I will not be able to respond about your likelihood of acceptance or possibility of working with me. If you are already enrolled at Stanford or have been admitted, please feel free to reach out if you're interested in discussing research opportunities in my group.


Selected Awards


I am fortunate to get to work with a great set of individuals and I am currently advising

Recent teaching: (Fall 2015) Real life Reinforcement Learning.

If you're an undergraduate or graduate already enrolled at Stanford interested in helping us transform and scale personalized learning, or tackling new challenges in sequential decision making under uncertainty, please get in touch!