Michael Korsmeier - Curriculum Vitae


What I enjoy: Solving problems, automating tasks, modeling, experimenting with new methods and concepts, creativity, engaging in team discussions and exchanges, pushing boundaries.

I am a Data Scientist with a background in physics. Currently, I work as an R&D consultant at Savantic AB, where my focus areas include physics-inspired solutions, data-driven solutions, machine learning and AI, software development, and hardware and sensors.


  • Data analysis and visualization
  • Statistical modeling and simulation
  • Management and organization of a team
  • Advanced programming skills in c++ and python
  • Version control with git
  • Container applications with Docker
  • Machine Learning with PyTorch
  • High performance and parallelized computing (MPI and OpenMP)
  • Experience with data bases and web programming (mySQL, php, javascript)
  • Public speaking and technical writing in English and German
  • Some recent software projects


2024 - present Data Scientist Savantic AB, Stockholm
R&D Consultant
→ show more

My focus areas include physics-inspired solutions, data-driven solutions, machine learning and AI, software development, and hardware and sensors. My expertise lies in employing advanced algorithms and techniques to extract meaningful insights from vast datasets. I am skilled in statistical analysis and programming, utilizing tools such as modeling, simulation, machine learning, and automation. I thrive on exploring novel concepts and strategies, constantly seeking to push the boundaries of what is possible.

2020 - 2023 Researcher The Oscar Klein Center, Department of Physics, Stockholm University
Focus: Theoretical and comuputational astroparticle physics
→ show more

In the position as a physicist at the University of Stockholm, I extracted insights from large datasets using advanced algorithms and statistical analyses. My experience in data analysis and visualization, statistical modeling and simulation, as well as in the field of machine learning, allowed me to effectively solve complex problems. I enjoyed thinking in abstract structures. My research has been presented at numerous international conferences, and I have published scientific articles in high-impact journals. Additionally, I have supervised master's and PhD students and worked as a reviewer for scientific journals.

2016 - 2020 PhD University of Turin and RWTH Aachen University
Title: Unveiling dark matter with cosmic messengers
Supervisors: Fiorenza Donato, Michael Krämer
Grade: summa cum laude (with the greatest distinction)

→ show more

Pursuing my PhD simultaneously at two universities in Italy and Germany enriched my academic experience and provided me with a unique opportunity to collaborate with a large team of international researchers. My research focus centered around the fascinating field of astroparticle physics, where I made significant contributions to the search of Dark Matter. Throughout my PhD, I gained valuable expertise in various essential Data Science tools such as in statistics, Bayesian inference, MCMC (Markov Chain Monte Carlo) scans, simulation, and machine learning.


2014 - 2016 Masters of Science RWTH Aachen University
1.0 - excellent
Focus of study: Quantum field theories and gauge theories
Thesis: Global analysis of cosmic-ray propagation in the light of AMS-02 and the impact on indirect detection of dark matter
2011 - 2014 Bachelor of Science RWTH Aachen University
1.3 - excellent      Physics
Thesis: Energy measurement of cosmic rays with the transition radiation detector of AMS-02 on the International Space Station
2010 Abitur Gymnasium Delbrück
1.0 - excellent
German high school grade

Voluntary work

2018—Present Board Member FJ Sailing association
Elected as treasurer (4 years), president (5 years), vice president (5 years, current)


  • Borchers-Plakette — awarded to outstanding PhD graduates by RWTH Aachen University
  • Dean’s List — awarded to the best five percent of all students of RWTH Aachen University


  • Sailing — competitions and leisure
  • Bouldering and climbing
  • Hiking and cycling