Stela Silva
NASA Postdoctoral Program Fellow at NASA Goddard Space Flight Center
Washington, District of Columbia, United States
Summary
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Top SchoolStela Ishitani Silva is a NASA Postdoctoral Program fellow and astrophysicist with 8 years of experience applying machine learning and time-series analysis to exoplanet detection. She led the discovery of exoplanet MOA-2020-BLG-135Lb, has co-authored the identification of over 30 microlensing planets and 390+ transit candidates, and brings deep hands-on experience from NASA GSFC and the Frontier Development Lab. Holding a PhD and MS in Physics from The Catholic University of America (John Mather Nobel Scholar), her doctoral work blended gravitational microlensing, planetary transits, and neural networks to mine massive datasets. Stela is an active member of the MOA and Roman Galactic Exoplanet Survey teams, focused now on ML-driven stellar variability detection and survey infrastructure. Her background spans international training—from UFMG to a Toronto exchange—and a track record of developing open-source methods for microlensing event identification. She combines rigorous physics training with practical software and data-science skills to push survey-scale exoplanet discovery.
7 years of coding experience
5 years of employment as a software developer
Bachelor of Science, Physics, Bachelor of Science, Physics at University of TorontoDoctor of Philosophy - PhD, Physics, GPA 4.0/4.0, Doctor of Philosophy - PhD, Physics, GPA 4.0/4.0 at The Catholic University of AmericaBachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Universidade Federal de Minas Gerais
Portuguese, English, French, Spanish
Stackoverflow
1reputation
0reached
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Github Skills (29)
keras8
reinforcement-learning7
api7
hyperparameter-tuning7
collaboration6
deep-learning6
machine-learning6
pytorch6
cli5
ai5
tensorflow5
data-versioning5
hyperparameter-optimization5
prepare5
python5
Programming languages (4)
Github contributions (5)
stelais/jasmine
Apr 2024 - Mar 2025
JASMINE: Joint Analysis of Simulations for Microlensing INterest Events
Contributions:16 PRs, 100 pushes, 12 branches in 11 months
stelais/planning_observation
Jun 2019 - Nov 2019
The routines in this repository were made to plan an observation. 'TIC.py' is a routine that prepare your data in the format for 'observe_target_v2.py' routine. This second routine creates a plot of airmass and a skymap for your target.
Contributions:16 commits, 15 pushes, 1 branch in 4 months
routinepythonobservationplanplot
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