Thomas Mühlenstädt
About Thomas Mühlenstädt
Thomas Mühlenstädt is a Staff Software Engineer specializing in simulation at Torc Robotics, with a robust background in statistics and data science. He has held various positions in the field, including roles at W. L. Gore & Associates, Argo AI, and Autonomous Intelligent Driving GmbH, and has earned a PhD in Statistics from TU Dortmund.
Work at Torc Robotics
Thomas Mühlenstädt currently serves as a Staff Software Engineer in the Simulation department at Torc Robotics. He has been in this role since 2023, contributing to the development and enhancement of simulation technologies. His work focuses on applying his extensive background in statistics and data science to improve the performance and accuracy of simulation models.
Education and Expertise
Thomas Mühlenstädt holds a Doctor of Philosophy (PhD) in Statistics from TU Dortmund, which he completed from 2007 to 2010. Prior to his PhD, he earned a Diploma in Statistics, comparable to a Master’s degree, from the same institution between 2002 and 2007. His educational background provides a strong foundation in statistical modeling and analysis. He is proficient in statistical tools such as R, JMP, Rapidminer, and Python.
Background
Thomas Mühlenstädt has a diverse professional background, beginning his career as a research assistant at TU Dortmund University from 2007 to 2010. He then worked at W. L. Gore & Associates as a Statistician for nine years, followed by a role as a Statistics Analytics Specialist at Autonomous Intelligent Driving GmbH for eight months. He later served as a Senior Data Scientist at Argo AI from 2020 to 2023, before joining Torc Robotics.
Achievements in Data Science Training
Since 2017, Thomas Mühlenstädt has been a Data Science trainer at UnternehmerTUM MakerSpace GmbH. In this role, he has been involved in educating and mentoring individuals in data science techniques and applications. His experience in both academic and industrial settings enriches his training sessions, providing practical insights into the field.
Professional Experience in Statistics
Thomas Mühlenstädt has a demonstrated history of applying statistical modeling and machine learning in various industrial environments. His roles have involved extensive use of statistical analysis to inform decision-making processes and enhance operational efficiencies. This experience is supported by his strong research background and practical application of statistical tools.