Published numerous journal articles and conference papers covering applications of machine learning in space, planetary landing site selection, and more. Specific publications include:
- Lessons learned from the 1st Ariel Machine Learning Challenge: Correcting transiting exoplanet light curves for stellar spots (2023)
- Spacecraft Collision Avoidance Challenge: design and results of a machine learning competition (2021)
- Foreword to the special issue on the GTOC5 competition (2014)
- An evolutionary robotics approach for the distributed control of satellite formations (2014)
- GTOC5: Results from the European Space Agency and University of Florence (2014)
- Real-Time Planetary Landing Site Selection – A Non-Exhaustive Approach (2012)
- Autonomous spacecraft landing through human pre-attentive vision (2012)
- Designing Complex Interplanetary Trajectories for the Global Trajectory Optimization Competitions (2016)
- Uncertainty in Dynamically Changing Input Data (2010)
- Benefits of Full-Reinforcement Operators for Spacecraft Target Landing (2010)
Research Experience
Played key roles in multiple research projects, including the Ariel Machine Learning Challenge and the Spacecraft Collision Avoidance Challenge.
Background
Lead Data Scientist / co-founder, ML Analytics, Lisbon, Portugal