Computer Science Dept.
Affiliate faculty with the Machine Learning Dept.
Carnegie Mellon University
ebrunskill at cs dot cmu dot edu
My lab focuses on creating autonomous agents that learn
to interact with people, envisioning systems like self-optimizing tutors
that proactively improve their teaching as they interact with
more students. Accomplishing this requires new algorithmic and
theoretical advances in machine learning, optimal control and artificial
intelligence. I am particularly excited about the potential
of machine learning to transform the effectiveness of
online education and most of my lab's application work focuses
on education. I am also passionate about how information techology can
assist in challenges arising in low resource settings (ICTD) and
very interested in health applications.
I did my undergraduate at the University of Washington, a masters at Oxford University as a Rhodes Scholar, my PhD at MIT and my postdoc at the University of California, Berkeley. Our work is supported by a NSF Career award, Microsoft Research Faculty Fellow award, the Institute for Educational Sciences, Google and Yahoo, and has receieved best paper nominations at CHI (2014) and Educational Data Mining (2012,2013).
I am fortunate to get to work with a great set of individuals and I am currently advising the following graduate students:
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!