As a computational scientist, I am focused on the development of machine learning algorithms to study rapidly fluctuating systems. Specifically, my interests lie in the creation of novel sampling techniques used to model the dynamics of highly interconnected stochastic systems. I have experience leading the development of high-performance codes, a strong working knowledge of software development on Unix/Linux platforms, and with Linux cluster management and operations.
My doctoral work focused on the development of novel algorithms used to understand the short-lived transition states of molecular systems undergoing a conformational change. This project required the use of sophisticated mathematical techniques to gain new insight into the study of rare events and illuminates a fundamental misconception in previous studies. More details about this work can be found on my research page.
In addition to my more technical skills, I take pride in being an engaging public speaker, experienced teacher, and an inclusive team member. I am an award-winning presenter, nationally recognized teacher, and creator of a scientific computing seminar for science researchers.
Outside of work, I like to recharge by hiking with my wife, playing soccer with friends and, experimenting with beer brewing.
Please shoot me an email if you would like to get in touch. Thank you for visiting!