The EMAC Team at NASA Goddard includes both exoplanet scientists and research assistants as well as computer scientists, web developers, and back-end database and cloud developers. If you see us around, don’t hesitate to ask us about EMAC!
Avi Mandell is the Principle Investigator for EMAC. He is a research scientist in the Planetary Systems Laboratory at NASA Goddard, and his research work focuses on exoplanet characterization and atmospheric modeling. He is also the lead for the Sellers Exoplanet Environments Collaboration (SEEC), the cross-disciplinary exoplanet research team at GSFC.
Eric D. Lopez
Dr. Eric D. Lopez is the deputy lead for EMAC. Dr. Lopez is an exoplanet theorist specializes in models of planetary structure, composition, evolution, and atmospheric escape. He received his PhD in Astronomy and Astrophysics from UC Santa Cruz and is a NASA civil servant at Goddard in the Planetary Systems lab.
Carl Hostetter is the EMAC system architect and lead software developer. He has been a Computer Engineer at NASA GSFC for over 30 years, and has developed desktop, mobile, and web applications and architectures in C, C#, Java, Objective-C, Python, and Swift.
Yoni Brande is a past research assistant in the Planetary Systems Lab; his research work included the detection and characterization of transiting exoplanets, and simulated JWST observations.
Marshall Sutton is a software developer for EMAC. He has previously done work as an application developer, data engineer, and cost analyst at Goddard Space Flight Center. He supports all things Python. He holds Master’s degree in applied mathematics from the University of Washington.
Mike Moore is a software and cloud engineer serving as the principal customer experience engineer for the Goddard Private Cloud. Mike supports EMAC directly as a member of the team and via GPC where EMAC and many other SEEC research projects, such as the Planetary Spectrum Generator (PSG) are run. Mike’s passion is to merge minds in the computing field with those in the hard sciences to advance the understanding of our universe through a novel synergy between the two disciplines to achieve better tools, faster results, and lower costs.