Ian Char

Ph.D. Student
Carnegie Mellon University
ichar (at) cs.cmu.edu

About Me

I am an ABD Ph.D. student in the Machine Learning Department at CMU advised by Jeff Schneider. My research interests include reinforcement learning, Bayesian optimization, and uncertainty quantification. I am particularly interested in how machine learning can be applied to the sciences, and my current research focuses revolve around how we can learn controls for tokamaks.

Before joining CMU, I earned a MS in Applied Mathematics from University of Colorado Boulder and was advised by Manuel Lladser. I also went to University of Colorado Boulder for my undergraduate and earned a BS in both applied math and computer science.



Workshop Papers and Technical Reports(* indicates equal contribution)




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