Brian Loudin
About Brian Loudin
Brian Loudin is a Principal Research Scientist at Procter & Gamble and an Adjunct Professor of Computer Science at the University of Cincinnati. He has extensive experience in computational modeling, data analytics, and interdisciplinary engineering.
Title
Brian Loudin is a Principal Research Scientist at Procter & Gamble and an Adjunct Professor of Computer Science at the University of Cincinnati.
Current Roles
Brian Loudin currently holds two significant positions. He works as a Principal Research Scientist at Procter & Gamble, a role he has been in since 2022. Simultaneously, he serves as an Adjunct Professor of Computer Science at the University of Cincinnati’s College of Engineering and Applied Science since 2023.
Professional Experience at Procter & Gamble
Brian Loudin has had a longstanding career at Procter & Gamble. Before his current role, he held various positions including Director of Enterprise Data Science (2017-2022), Principal Scientist in Probabilistic Computational Modeling and Data Analytics (2013-2017), Senior Scientist in Multi-Physics Computational Modeling (2009-2013), Technology Leader in Computational Modeling and Data Analytics (2007-2009), Technology Leader in Multi-Physics Computational Modeling (2005-2007), Engineer in Structural Mechanics, Modeling and Simulation (2002-2005), and Engineer in Dynamics and Controls, Modeling and Simulation (2000-2002).
Previous Work Experience
Before joining Procter & Gamble, Brian Loudin gained valuable experience at other noteworthy organizations. He participated in a NASA Fellowship in 1997 for four months and served as a Co-op Engineer at BBN Technologies from 1994 to 1996.
Education and Expertise
Brian Loudin holds a Master of Science in Aerospace Engineering from the University of Cincinnati, where he also completed his Bachelor of Science in the same discipline. Prior to that, he earned an Associate of Science in Mechanical Engineering Technology from Cincinnati State Technical and Community College. His expertise spans a wide range of fields including computer science, mechanical engineering, material science engineering, electrical engineering, system engineering, and industrial design.