Carlos J. Díaz Baso

Carlos J. Díaz Baso

Research Software Engineer in Solar Physics

Oslo University, RoCS

About Me

Hello, and welcome! I am a Research Software Engineer and Solar Physicist working in the Rosseland Centre for Solar Physics at Oslo University.

My general areas of interest are Bayesian statistics, Deep Learning and Solar Physics. My research focuses on understanding solar phenomena and their origin through the analysis of spectropolarimetric observations. Thanks for stopping by!

I also develop open interactive tools — try Solar SIR, a browser-based LTE spectral synthesis app built on the SIR inversion code.

News

  • [May 20, 2026] New preprint: Accelerating 3D Non-LTE Synthesis with Graph Neural Networks [arXiv] [project].
  • [May 15, 2026] New preprint: IRIS NUV diagnostics for Ellerman bombs: spectral properties, thermodynamics, and formation height [arXiv] [project].
  • [April 15, 2026] Accepted paper: Thermodynamic and magnetic evolution of an eruptive C-class solar flare observed with SST/TRIPPEL-SP [Journal] [arXiv] [project].
  • [February 20, 2026] Accepted paper: Active chromospheric fibril singularity: Coordinated observations from Solar Orbiter, SST, and IRIS [Journal] [arXiv] [project].
  • [February 10, 2026] New preprint: Inspectorch: Efficient rare event exploration in solar observations [arXiv] [project].

See all news →

Recent Talks

Presentation October 27-30, 2025

How can machine learning and inversion techniques help with understanding the low solar atmosphere?

Joint MUSE/IRIS science team meeting SETI Institute, Mountain View (CA), USA
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Presentation 13 - 21 July 2024

Advances in machine learning applications on photospheric and chromospheric studies

45th COSPAR Scientific Assembly Busan, South Korea
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Presentation 2024

The Force Awakens: Unleashing Deep Learning in Solar Physics

Oslo AI Product Lab Oslo, Norway, May 25
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Presentation 2024

Deep Learning 2.0: Combining physics-based models with data-driven solutions

Lockheed Martin Solar and Astrophysics Laboratory (LMSAL) California, USA, May 16
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Presentation 2023

Deep Learning 2.0: Combining physics-based models with data-driven solutions

Instituto de Astrofísica de Canarias (IAC) Tenerife, Spain, October 15
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Presentation 2023

Deep Learning 2.0: Combining physics-based models with data-driven solutions

Leibniz-Institut für Sonnenphysik (KIS) Freiburg, Germany, June 5
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Presentation 2023

The Potential of Machine Learning for Efficient Analysis of Solar Observations and simulations

ITA Colloquium 2023 Oslo, Norway, March 17
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Presentation 2023

Differentiable programming for spectra modeling and inference

RoCMI 2023 Longyearbyen, Svalbard, February 26 - March 2
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Presentation 2023

Unleashing the Potential of Machine Learning for Efficient Analysis of Solar Observations

Universitat de les Illes Balears Spain, February 17
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Presentation 2022

Application of machine learning and neural networks to data processing in solar physics

Solar Space Plasma seminar National Astronomy Observatory of Japan, Tokyo, Japan, December 2
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Presentation 2022

Unlocking the potential of deep learning for the analysis of spectropolarimetric observations

Solar Polarization Workshop 10 (SPW10) Kyoto, Japan, November 7-11
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Presentation 2022

Application of machine learning and neural networks to data processing

Hinode-15 / IRIS-12 Czech Republic, Prague, September 19-23
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Video & Slides 2022/05/10

Spain AI Lead talk

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Video Talk 2021/10/15

Stockholm University Seminar

Video Talk 2020/10/07

HAO Colloquium

Experience

 
 
 
 
 

Research Software Engineer in Solar Physics

Rosseland Centre for Solar Physics, RoCS

Oct 2025 – Present Oslo, Norway
 
 
 
 
 

Postdoctoral researcher

Rosseland Centre for Solar Physics, RoCS

Oct 2022 – Sep 2025 Oslo, Norway
 
 
 
 
 

Postdoctoral researcher

Institute for solar physics, ISP

Oct 2018 – Sep 2022 Stockholm, Sweden
 
 
 
 
 

PhD in Astrophysics

Universidad de La Laguna

Oct 2014 – Sep 2018 Tenerife, Spain
 
 
 
 
 

Master in Astrophysics

Universidad de La Laguna

Oct 2013 – Jun 2015 Tenerife, Spain
 
 
 
 
 

Degree in Physics

Universidad de La Laguna

Jun 2013 – Sep 2009 Tenerife, Spain

Thesis & Dissertations

Ph.D. Thesis Sep 2018

Analysis of the magnetic and dynamic structure of solar filaments

Universidad de La Laguna Tenerife, Spain
M.Sc. Thesis Jun 2015

Inversion techniques and their application to spectropolarimetric data of the solar photosphere and chromosphere

Universidad de La Laguna Tenerife, Spain
Fellowship Thesis Jun 2014

Inversion of spectropolarimetric data

Universidad de La Laguna Tenerife, Spain
B.Sc. Thesis Jun 2013

Introduction to solar spectropolarimetric data

Universidad de La Laguna Tenerife, Spain

Contact

  • carloskdb@gmail.com | carlos.diaz@astro.uio.no