Timm Oertel is a prominent academic in the field of Data Science, currently serving at the Department of Data Science at Friedrich-Alexander-Universität Erlangen-Nürnberg, where he leads the Chair of Analytics & Mixed-Integer Optimization. His research focuses on advanced methodologies in analytics, particularly in the area of mixed-integer optimization which has broader implications in computational data science. He is widely recognized for his contributions to the field and participates in various academic and industry collaborations to improve data-driven decision-making processes. Timm Oertel is involved in teaching activities, guiding students in their academic pursuits within data science. He aims to bridge the gap between theoretical models and practical applications through his innovative research and teaching methodologies.