PhD Student at CMU (GHC 8206)
I'm a PhD student in the Machine Learning Department (MLD) at Carnegie Mellon University (CMU). Previously, I was a Resident at Google Brain. I studied math and computer science at MIT.
I enjoy teaching and making machine learning more accessible. I'm happy to help/advise anyone working on machine learning projects (send me an email).
I want to enable robots to learn to act and recover from mistakes by interacting with their environment. Recent projects have focused on having robots learn with minimal human supervision, reducing the dependence of humans for designing a reward function, manually resetting the environment, and ensuring safety.
While at Brain, I've had a number of fantastic collaborators, including Shane Gu, Julian Ibarz, Sergey Levine, and Abhishek Gupta. While at MIT, I worked on a number of fun research projects with Antonio Torralba and Carl Vondrick in the computer vision group in CSAIL. One summer, I worked with Jeff Schneider on machine learning for autonomous vehicles at Uber ATC. On other breaks from MIT, I did research at Adobe's Creative Technology Lab with Bryan Russell and Josef Sivic, at Xerox Research Centre India with Theja Tulabandhula, at IBM Watson Health with Adam Perer, and at Tsinghua University.
© 2018 Ben Eysenbach