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Yanik-Pascal Förster is a Research Scientist at Anmut since January 2023, focusing on cross-departmental collaboration to innovate solutions involving machine learning, statistics, mathematical modeling, and Python development. Previously, Yanik-Pascal served as a PhD student at King's College London from October 2019 to June 2023, where research centered on using Markov processes to model search processes in parliamentary contexts. Additionally, Yanik-Pascal held the position of Graduate Teaching Assistant at King's College London, conducting tutorials in Probability, Complex Networks, and Discrete Mathematics, and worked as a Teaching Assistant at Bielefeld University, supporting junior physics students. Yanik-Pascal completed a Doctor of Philosophy in Applied Mathematics at King's College London, a Master of Science in Non-Equilibrium Systems, and a Master of Science in Theoretical and Mathematical Physics, along with a Bachelor's degree in Physics from Bielefeld University. Experience also includes time at the University of Bergen.