Bailey is a 4th year PhD student at Carnegie Mellon University where he is advised by Prof. Ioannis Gkioulekas. His research aims to develop large-scale (inverse) simulation techniques by leveraging both Monte Carlo methods and insights from stochastic geometry. Prior to his PhD, Bailey received his BA in Mathematics and Computer Science from Dartmouth College where he had the opportunity to work with Wojciech Jarosz on volume rendering research. Bailey has been awarded an NVIDIA Graduate Research Fellowship and NSF Graduate Research Fellowship.