The Science & People Behind ExoMind
Meet the team and explore the essentials of our AI approach to exoplanet detection.
Who We Are
A small, focused team blending astrophysics and applied AI.
Sergio Navarro
Full-Stack Developer
Full stack development, deployment and optimization. Focus on scalable web applications.
Paula Lucas
Data Scientist
Data analysis, modeling and visualization. Focus on turning data into actionable insights.
Mario Gallego
Backend & MLOps Engineer
Model deployment, automation and cloud integration. Focus on efficient backend pipelines.
Sergio Lozano
Software Developer
Software design, testing and maintenance. Focus on clean, reliable and maintainable code.
Javier Lorenzo
UI/UX Designer
User-centered design and prototyping. Focus on intuitive and aesthetic digital experiences.
María Toral
Astrophysics Advisor
Research guidance and data interpretation. Focus on stellar modeling and exoplanet detection.
Performance at a Glance
Why Random Forest?
Short, practical reasons behind our choice.
Generalizes Well
Many shallow trees reduce overfitting across varied stellar systems.
Explainable Signals
Highlights depth, duration, period, SNR, and stellar context clearly.
Fast & Lightweight
Quick inference, easy retraining as new data arrives.
Want to try ExoMind?
Get early access and test your own light curves or spectra.