Michael Korsmeier

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.

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.

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.