Assistant Professor, CS, Affiliate, Machine Learning
Carnegie Mellon University
ebrunskill at cs dot cmu 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.
I am fortunate to get to work with a great set of individuals and I am currently working with
Recent teaching: (Fall 2015) Real life Reinforcement Learning.
If you're an undergraduate or graduate at CMU interested in helping us transform and scale personalized learning, or tackling new challenges in sequential decision making under uncertainty, please get in touch!