Profile
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 in the field of Astroparticle Physics. My expertise lies in extracting fundamental information from vast datasets in a targeted manner. I employ statistical methods, advanced algorithms and machine learning for this purpose.
Skills
- 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
Experience
| 2020 - present | Data Scientist |
The Oscar Klein Center, Department of Physics, Stockholm University Focus: Theoretical and comuputational astroparticle physics → show more In my current position as a physicist at the University of Stockholm, I extract 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, allows me to effectively solve complex problems. I enjoy 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. |
Education
| 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)
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Awards
- 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
Interests