I am an Assistant Professor in the Computer Science Department with the School of Computer Science at Carnegie Mellon University. I am also a member of the Societal Computing Program, and I am an affiliated member of the Machine Learning Department, the Robotics Institute, and the Electrical and Computer Engineering Department.

My work focuses on machine learning, optimization, and control. I work on core algorithmic methods as well as applications, focusing specifically on application in smart energy and sustainability domains.

Recent News

  • 12/16: Brandon Amos presents work on input convex neural networks for reinforcement learning at NIPS 2016 workshop on deep reinforcement learning.
  • 12/16: Po-wei Wang presents work on the mixing method for fast MAXCUT-SDP solutions at NIPS 2016 workshop on Learning in high dimensions with structure.
  • 11/16: Received DARPA SAGA seed project to investigate fast methods for stochastic programming.
  • 9/16: Our preprint Input Convex Neural Networks is available on Arxiv.
  • 8/16: Received DARPA RADICS award (with NRECA) to develop machine learning approaches to cybersecurity in electrical grid networks.
  • 7/16: Xiao Zhang presents Model Predictive Control of Industrial Loads and Energy Storage for Demand Response, recipient of best paper award, at PES General meeting.
  • The beginning of time (or this redesigned website, rather).

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