dflemin3

Display Name: 
David Fleming
Title 1: 
Graduate Student
Department 1: 
Astronomy
Email: 
dflemin3@uw.edu

History

Homepage URL: 
https://depts.washington.edu/astron/profile/fleming-david/
Bio: 

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 am particularly interested in the application of machine learning techniques to wrangle this large parameter space to draw inferences about exoplanet habitability and understand the underlying physical processes that influence habitability.

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Home Institution: 
University of Washington
First Name: 
David
Last Name: 
Fleming
VPL Research Tasks: 
Task C: The Habitable Planet
Department 2: 
University of Washington eScience Institute
Status: 
Student
Research Expertise: 
Exoplanet habitability assessment, machine learning