RUNA ↗
Estimating stellar type from brightness measurements, with supervised learning and model comparison.
Machine learning · Python · scikit-learn
Scientific data · Heidelberg, Germany
Carlos Cifuentes
Scientific Data Analysis · Processing & Validation · Python · SQL
Physicist with a PhD in Astrophysics and over eight years of experience in Python-based scientific data processing. I develop workflows to integrate, validate and analyse observations, turning them into results others can use.
I want to apply that experience to projects with meaningful real-world impact.
Selected projects
KOBE stellar characterisation ↗
A Python workflow to estimate stellar properties from high-resolution spectra.
Data pipelines & quality control · Python · Astropy
Multiplicity in cool dwarfs ↗
Combining astronomical data to identify and study stars with companions.
Data integration & validation · Python · NumPy
Research, industry & teaching
My experience spans astrophysics research at CAB and MPIA, energy-monitoring work at Indra, and university teaching. I have led research projects and secured ten observing programmes as Principal Investigator.
Experience and education ↗Get in touch
For questions about my work or opportunities to collaborate.
Send me a message ↗