Daniel Probst
About Daniel Probst
Daniel Probst is a Senior Principal Engineer at Convergent Science, Inc, where he specializes in uncertainty quantification and machine learning for simulation applications. He holds both a B.S. and M.S. in Mechanical Engineering from the University of Wisconsin-Madison and has over 13 years of experience in high performance computing and energy conversion technologies.
Work at Convergent Science
Daniel Probst serves as a Senior Principal Engineer at Convergent Science, Inc., a position he has held since 2011. He is based in the Madison, Wisconsin area. In this role, he leads the development of machine learning and optimization technology tailored for simulation applications. His work focuses on enhancing simulation capabilities, which supports advanced research initiatives for clients. Probst also provides expertise in high-performance computing, contributing significantly to the company's product development efforts.
Education and Expertise
Daniel Probst earned a Master of Science in Mechanical Engineering from the University of Wisconsin-Madison, where he studied from 2000 to 2002. Prior to this, he obtained a Bachelor of Science in Mechanical Engineering and English from the same institution, completing his studies from 1995 to 1999. His educational background equips him with a strong foundation in engineering principles, particularly in energy conversion and storage technology, with a focus on thermal-fluid systems.
Background
Daniel Probst has a robust background in uncertainty quantification and evaluation, utilizing statistical design methods. His experience includes data acquisition and experimental data analysis, which he applies to support product development. Probst specializes in complex thermal-fluid systems, including turbulent and chemically reacting systems, which are critical in various engineering applications.
Achievements
Throughout his career, Daniel Probst has made significant contributions to the fields of machine learning and optimization in simulation applications. His leadership in developing advanced technologies at Convergent Science has positioned him as a key figure in high-performance computing for client research. His expertise in energy conversion and storage technology further underscores his role in advancing engineering solutions.