Dr. Sören Sonnenburg

Dr. Sören Sonnenburg

Staff Data Scientist @ TomTom

About Dr. Sören Sonnenburg

Dr. Sören Sonnenburg is a Staff Data Scientist at TomTom with over 10 years of experience in machine learning and data science.

Current Role at TomTom

Dr. Sören Sonnenburg serves as a Staff Data Scientist at TomTom, based in Berlin, Germany. He began this role in 2023 and continues to contribute to the company's advancements in data science and machine learning.

Previous Roles at TomTom

Before his current role, Dr. Sören Sonnenburg held multiple positions at TomTom. From 2018 to 2023, he was the Director of Machine Learning/AI/Data Science. Prior to that, he served as a Machine Learning Expert from 2017 to 2018, and as a Senior Algorithm and Software Developer from 2011 to 2016. In these roles, he contributed significantly to the development of machine learning and AI solutions.

Academic and Research Background

Dr. Sonnenburg has a strong academic background with a focus on computer science, machine learning, and bioinformatics. He completed his PhD (Doctor rer nat) at Technische Universität Berlin from 2002 to 2009. He also holds a Diplom in Computer Science from Humboldt-Universität zu Berlin, obtained between 1997 and 2002. His research experience includes postdoctoral roles at both Berlin Institute of Technology and Friedrich Miescher Laboratory of the Max Planck Society.

Notable Achievements

Dr. Sören Sonnenburg has been recognized for his expertise and contributions in multiple areas. He received the Hugo-Geiger Prize from the Fraunhofer Society. Additionally, he has been awarded several TomTom Innovation Awards for his outstanding work in machine learning and AI. His work includes leading the automation of specific ADAS map attributes, facilitating the successful delivery of the new open street map-based 'Orbis' TomTom map.

Professional Experience in Machine Learning and Data Science

Dr. Sonnenburg's professional journey spans over a decade, with extensive experience in applying machine learning and data science to various domains. His work encompasses location technology, bioinformatics, and computational chemistry. His early career included roles at Fraunhofer FIRST, GMD, and the Institute for Meteorology at the Free University Berlin, where he gained significant technical and project management experience.

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