Frank C. Meinecke
About Frank C. Meinecke
Frank C. Meinecke is the Director of Applied Machine Learning at TomTom and Co-CEO of Informero UG, with a strong background in machine learning and data science.
Director Of Applied Machine Learning at TomTom
Frank C. Meinecke has been serving as Director of Applied Machine Learning at TomTom since 2022. Based in Berlin, Germany, he leads initiatives that focus on transforming manual map editing processes into automated real-time map generation. His role involves providing technical guidance and defining machine learning strategies. This position highlights his expertise in automation and real-time data processing.
Co-CEO at Informero UG
In addition to his role at TomTom, Frank C. Meinecke is also the Co-CEO of Informero UG since 2022. This role, also based in Berlin, Germany, allows him to leverage his extensive experience in machine learning and data science to steer the company's strategic direction. His leadership at Informero UG indicates a diversified involvement in the tech industry, focusing on innovative solutions.
Background in AI and Data Science
Frank's background in AI and data science includes significant roles at prominent companies like peekd and Zalando SE. At peekd, he served as the Chief Data Officer from 2022 to 2023. Prior to that, he held multiple leadership roles at Zalando SE, including Chief Data Officer for Zalando Payments, Head of AI & Data, Head of Revenue Management, and Product Management Lead for Revenue Protection. These roles underscore his extensive experience in managing large-scale data projects and strategic AI initiatives.
Academic Background and Research
Frank C. Meinecke's academic journey is rooted in physics and machine learning. He earned his Ph.D. in Machine Learning from Technische Universität Berlin, where he also served as a postdoctoral researcher and research associate in the Machine Learning Group. He holds a Master's Degree in Physics from the University of Potsdam and studied Physics at Bergische Universität Wuppertal. His academic background is complemented by his early career as a research associate at Fraunhofer FIRST and a quantitative consultant at idalab GmbH.
Industry Contributions in Machine Learning
Throughout his career, Frank has contributed significantly to the field of machine learning. At TomTom, he has focused on automating data-driven map making processes by integrating human expertise with automated systems. His work in this area emphasizes the importance of human-in-the-loop machine learning. At other companies, he has successfully led the development and implementation of machine learning strategies, showcasing his ability to drive innovation in various tech-driven environments.