Physics · Problem Solving · Data & Modelling · Scientific Computing

Creative
and rigorous
problem solving
grounded in data

Physicist with experience in quantitative and analytical modelling, data analysis, scientific computing, and collaborative multidisciplinary work. I approach unfamiliar problems with curiosity, creativity, and rigor.

Pablo Martínez-Miravé
Copenhagen · Denmark
LinkedIn ↗ GitHub ↗ Email ↗

Head in the stars, feet on the ground.

My academic background is in physics, where I have worked in the interface between particle physics and astrophysics. My work is rooted in numerical modelling, quantitative analysis, and statistics.

With my head in the stars and my feet firmly on the ground, I enjoy tackling complex problems with rigour, developing practical solutions, and communicating results clearly. My work often sits at the intersection of quantitative and analytical thinking and creative problem-solving.

More about my background →
02.01

Scientific Computing & Software Development

Developing and extending computational tools to model the evolution of stars and investigate their neutrino emission. I work with the MESA stellar evolution codebase, developing extensions and post-processing workflows in Fortran and Julia to extract and analyse information beyond the standard outputs.

The resulting models are used to study neutrino emission across the life cycle of individual stars and across stellar populations in the Milky Way, with the broader goal of understanding whether these signals could be detected by particle telescopes.

Fortran Julia Scientific computing Numerical modelling Data processing
02.02

Statistical Analysis & Decision Support

Evaluating how next-generation experiments can be designed and combined to extract more information from complex datasets. In my thesis, I developed statistical analyses to study the synergies between complementary experiments and quantify how their combination could improve our understanding of fundamental physics.

I also investigated how uncertainties in experimental design affect expected results, helping assess the robustness of different strategies and inform decisions about future experiments.

Statistical analysis Uncertainty quantification Data analysis Experiment design Decision support
02.03

Science Communication

Communicating complex scientific ideas to audiences ranging from journalists and science enthusiasts to the general public. I have contributed to public science initiatives, spoken with journalists at Videnskab.dk, and participated in events including Science Slam and Bestil en Forsker.

My talks focus on turning technically challenging subjects into clear and engaging stories. One example is The Universe Our Eyes Cannot See, a talk exploring the parts of the universe that cannot be observed directly.

Public speaking Science communication Storytelling Technical communication

Interested in working together?

I am currently exploring new opportunities, in particularly roles involving quantitative analysis, scientific computing, research and development, and complex problem solving.

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