In early 2021, I am starting a new job applying my strong data science and research skills while growing my business skills. In the last years, I have completed my formal training with my master’s in particle physics, my Ph.D. in remote sensing and artificial intelligence, and my MBA in general management. Let me briefly introduce myself.
Over the last years, my primary role was being a researcher. I completed my master’s in particle physics, enjoyed terrific three years of Ph.D. in remote sensing, and spend my business project in digital health. I love the challenge of entering new and complex domains. I have published 10+ articles, gave talks at 7 international conferences, and supervised 13 students.
The methodology of my work makes me a data scientist. Over the years, I learned to understand data for data-driven decision making truly and to build data products. For example, teaching statistics and mathematics for computer scientists for 2+ years sharpened my view on machine learning approaches' explainability. I work with various data types, such as images (rgb, drone, satellite) and time-series data. Open source is essential to me, so I have published the Python package “susi” for free together with 10+ other open-source software and data projects.
My interest in solving customer problems and developing sustainable business models lead me to pursue my MBA to be an entrepreneur. To transition from research and data science to a manager and entrepreneur, I am focussing on growing my skills in product management, business development, and leadership. My first steps on this journey were my MBA and to start freelance consulting in early 2020.
MBA, 2021
Collège des Ingénieurs
Ph.D. in Remote Sensing and AI, 2020
Karlsruhe Institute of Technology
M.Sc. in Particle Physics, 2017
Karlsruhe Institute of Technology
B.Sc. in Physics, 2014
Karlsruhe Institute of Technology
More details on LinkedIn
Personal and open-source projects, see also GitHub
Development of deep learning methods for remote sensing applications.
Development of supervised self-organizing maps (SUSI) for regression and classification.
Lectures about linear algebra, analysis, statistics and knowledge-based systems at the DHBW Karlsruhe.
I was conference manager at the Karlsruhe Model United Nations (KAMUN) conference 2016.
Articles, book chapters, and datasets as listed on GoogleScholar
Talks, workshops, and other media