Megan Ansdell joined the foundation in 2019 as a Flatiron Research Fellow, joint between the Center for Computational Astrophysics and the Center for Computational Mathematics. Her research has focused on the observation and characterization of protoplanetary disks and young stars from radio to ultraviolet wavelengths using a variety of analysis techniques. While at the Flatiron Institute, Megan will focus on applying machine learning to exoplanet and planet formation research. Megan was previously a Postdoctoral Fellow at UC Berkeley’s Center for Integrative Planetary Science where she applied deep learning models to exoplanet transit classification. She received a PhD in Astronomy in 2017 from the University of Hawaii, where she conducted large-scale surveys of protoplanetary disks at (sub-)mm wavelengths using the Atacama Large Millimeter Array (ALMA). Previously, she obtained a Masters in International Science and Technology Policy from the George Washington University, where she researched and advocated for international cooperation in human space exploration.