cv

My curriculum vitae, with personal and professional experience, skills and education track.

Basics

Name Santiago Casas
Label Theoretical Cosmologist and Astrophysicist
Email s.casas@protonmail.com
Url https://santiagocasas.github.io
Summary Theoretical cosmologist working on dark energy, modified gravity, large-scale structure, Bayesian inference, and survey synergies for Euclid and SKAO.

Work

  • 2024.01 - Present
    Postdoctoral Researcher
    University of Portsmouth
    Euclid research scientist with builder status, co-leading likelihood work in the Theory Working Group and coordinating pre-launch key project work.
    • Euclid Builder and Theory Working Group leader
    • SKAO synergies and cosmology science book chapter coordinator
  • 2021.01 - 2024.01
    Postdoctoral Researcher
    RWTH Aachen University
    Worked on theoretical, phenomenological, and numerical cosmology with emphasis on likelihoods, neutrinos, modified gravity, and effective field theory for large-scale structure.
    • Supervised master and bachelor students
    • Developed and validated cosmology software including CLOE, MontePython, CosmicFish, CLASS-1loop, and JaxCosmo
  • 2018.01 - 2021.01
    Postdoctoral Researcher
    CEA Paris-Saclay
    Worked on Euclid-related cosmology forecasts, likelihoods, modified gravity, 21 cm cosmology, and machine-learning emulators.
    • Supervised interns and taught scientific Python courses
    • Contributed to CLOE, CosmicFish, and JaxCosmo
  • 2010.01 - 2011.01
    Physics Lecturer
    Universidad de Costa Rica
    Lectured General Physics and laboratory courses for physics and life-science students.
  • 2009.01 - 2010.01
    Physicist and Software Developer
    Engineering Scientific Services
    Developed finite-element methods in Objective-C for engineering applications.

Volunteer

  • 2019.01 - Present
    Founding Member and Mentor
    Alpha-Cen
    Mentoring network supporting students and researchers in Central America and the Caribbean.
    • Community mentoring
    • Remote webinars and outreach

Education

  • 2013.01 - 2017.01

    Heidelberg, Germany

    PhD
    Ruprecht-Karls-Universitat Heidelberg
    Theoretical Physics
    • Dark energy and modified gravity
    • Non-linear structure formation
    • Bayesian statistics and Fisher forecasting
  • 2011.01 - 2013.01

    Heidelberg, Germany

    MSc
    Ruprecht-Karls-Universitat Heidelberg
    Physics
    • Theoretical physics
    • Coupled dark energy forecasts
  • 2006.01 - 2009.01

    San Jose, Costa Rica

    BSc
    University of Costa Rica
    Physics

Awards

  • 2024.01.01
    Euclid STAR Prize IDEA
    Euclid Consortium
    STAR prize for the ECI IST Forecasting team, presented in Rome.
  • 2019.01.01
    Euclid STAR Prize
    Euclid Consortium
    Best team award for IST Forecasting, presented in Helsinki.
  • 2011.01.01
    MICIT Scholarship
    Ministry of Science and Technology of Costa Rica
    Scholarship supporting master's studies abroad.

Skills

Cosmology
Dark energy
Modified gravity
Large-scale structure
Weak lensing
Galaxy clustering
Statistics and Inference
Bayesian statistics
Fisher matrices
MCMC
Likelihoods
Variational inference
Scientific Computing
Python
JAX
High-performance computing
Gaussian processes
Differentiable programming

Languages

Spanish
Native
English
C2
German
C2
French
B1
Portuguese
A2

Interests

Research
Euclid
SKAO
Dark universe
Survey synergies
Community and Outreach
Mentoring
Podcasting
Science communication
Personal
Photography
Salsa dancing
Trumpet
Skiing
Chess

References

Prof. Valeria Pettorino
Academic reference listed in CV.
Prof. Martin Kunz
Academic reference listed in CV.
Prof. Luca Amendola
Academic reference listed in CV.

Projects

  • 2019.01 - Present
    cosmicfishpie
    Fisher-matrix and cosmological-theory toolkit for galaxy clustering, weak lensing, intensity mapping, CMB, and cross-correlations.
    • Forecasting cosmological observables
    • Open-source scientific software
  • 2018.01 - Present
    looti
    Machine-learning emulator for cosmological quantities using Gaussian processes, PCA, and dictionary learning.
    • Emulation
    • Cosmological inference
  • 2014.01 - 2020.01
    cosmomathica
    Wolfram Mathematica wrapper around Einstein-Boltzmann solvers and non-linear cosmology tools.
    • CAMB and CLASS workflows
    • Forecasting support