Kevin Song

Hello there! I’m a Ph.D student in the CS department at UT Austin. My current research focuses on the use of compression algorithms and hidden Markov modeling to infer the presence of memory and time-irreversibility in microscopic experiments where instrumentation may not accurately capture the true state of the underlying system due to measurement limitations.

In the past, I’ve worked on a wide array of problems, including accelerating agent-based models for disease simulations, inferring fault tolerance of distributed programs using machine learning, and trying to understand the impact of interdisciplinary research incentives on scientific collaboration.

In what spare time I have, I maintain starship and try to convince some of our TAs to not work so hard.