Office: KACB 2124
Email: sarah (dot) miracle (at) gatech (dot) edu
I am a Ph.D. student in the Algorithms, Combinatorics and Optimization program at the Georgia Institute of Technology. My advisor is Dana Randall and my main research interests include randomized algorithms, sampling and Markov chains. Markov chains are algorithms that can allow us to obtain information efficiently from exponentially large sets through random sampling. These algorithms are common across scientific disciples, including statistical physics, biology, operations research, computer science and many others. My primary area of research is designing and analyzing sampling algorithms by bringing insight and intuition from statistical physics, computer science, discrete mathematics and probability theory. Specifically, I’m interested in applying rigorous techniques for analyzing sampling algorithms from computer science to the study of physical models such as colloids. For more information on my research, see my
publications and selected talks.