Fleming, David


Graduate Student






Studied at

University of Notre Dame (2014)

Joined UW in


My research focuses on simulating exoplanet systems to examine their dynamics and potential habitability.


As a member of the UW eScience Institute’s Integrative Graduate Education and Research Traineeship (IGERT) in Big Data and Data Science, I work on dealing with the large parameter space required to accurately model exoplanet systems using the code VPLANET (see Barnes et al. 2016).  The massive parameter space afforded by VPLANET’s inclusion of numerous physical modules ranging from atmospheric escape to orbital dynamics necessitates the use machine learning techniques to analyze the output of a large number of simulations and to intelligently traverse this parameter space.

I graduated from the University of Notre Dame in 2014 with a Bachelor of Science with a major in Physics and concentrations in Astrophysics and Advanced Physics.  While visiting graduate schools, I fell in love with Seattle and in the Fall of 2014 was delighted to join the UW Astronomy Department.

About Me

As a native of St. Louis, MO, I love all things St. Louis, especially the beer, the toasted ravioli, and the sports teams.  The St. Louis Blues hold a special place in my heart, and I eagerly await their first Stanley Cup.  Being a Notre Dame football fan has made me almost too good at waiting for a championship, but there’s always next year, right?  While not working on my simulations, you can find me either watching sports or playing foosball.