Emma Brunskill

Assistant Professor
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 received best paper nominations at CHI (2014) and Educational Data Mining (2012,2013). I am an area chair for ICML 2015 and on the senior program committee for AAAI 2015.

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

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