Michael Thompson
About Michael Thompson
Michael Thompson serves as the Chief AI & Computational Research Officer at Turing Labs Inc., where he specializes in Bayesian and probabilistic modeling. He holds advanced degrees in Chemical Engineering from Northwestern University and the Massachusetts Institute of Technology.
Work at Turing Labs Inc.
Michael Thompson serves as the Chief AI & Computational Research Officer at Turing Labs Inc. since 2021. In this role, he focuses on advancing artificial intelligence and computational research initiatives. His leadership contributes to the development of innovative solutions that leverage AI technologies within the organization.
Education and Expertise
Michael Thompson has an extensive educational background in Chemical Engineering. He earned a Bachelor of Science (B.S.) from Northwestern University from 1978 to 1982, followed by a Master of Science (S.M.) from the Massachusetts Institute of Technology (MIT) from 1982 to 1984. He later achieved a Ph.D. in Chemical Engineering from MIT, completing his studies from 1990 to 1996. His expertise includes applying Bayesian and probabilistic modeling in various industries, particularly in consumer goods and chemical/petroleum processes.
Previous Experience at Procter & Gamble
Before joining Turing Labs Inc., Michael Thompson worked at Procter & Gamble as a Research Fellow for 21 years, from 1999 to 2020. During his tenure, he engaged in research and development projects that contributed to advancements in product innovation and process optimization within the company.
Academic Role at University of Cincinnati
Michael Thompson held a position as a Term Adjunct at the University of Cincinnati from 2019 to 2021. In this role, he contributed to the academic community by teaching and mentoring students in the field of Chemical Engineering, sharing his extensive knowledge and experience from the industry.
Technical Skills and Publications
Michael Thompson possesses strong skills in computer software development, proficient in programming languages such as R, Python, Matlab, C, and JMP. He also curates Flipboard mashup magazines that focus on Bayesian and Cognitive Computing, showcasing his commitment to sharing knowledge and insights in these areas.