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John DeWitt has a diverse work experience in the field of sports science and consulting. John currently serves as the Director of Applied Sports Science at Rice Athletics, where they maximize the development of physical, technical, and psychological skills for competitive success. John also runs their own consulting company, DeWitt Method Performance Consulting, where they assist professional and collegiate sports programs in achieving their goals through game and practice planning, data analysis, and report development.

Prior to their current roles, John was the Chief Strategy Officer at Inflouence Sports and worked as an Adjunct Faculty at the University of Houston-Clear Lake. John also has experience as a Senior Biomechanist at KBR Careers - Gov Solutions, where they worked with NASA. Additionally, John worked as a Senior Biomechanist for the Chicago Cubs, conducting studies on pitching and hitting biomechanics.

Before their professional career, John was an Academy Sports Performance Coach for the Houston Dynamo and an Assistant Coach for the Houston Dash. John also served as the Deputy Project Scientist for the Digital Astronaut Program at NASA, focusing on mitigating health and performance risks associated with long-duration spaceflight. Furthermore, John worked as an Assistant Coach for the Trinidad & Tobago Soccer Women's National Team and held various roles with the NSCAA convention committee.

John DeWitt has an extensive education history. John earned a Doctor of Philosophy (Ph.D.) degree in Graduate School of Biomedical Sciences from The University of Texas Medical Branch between 2003 and 2006. Prior to that, they completed a Master of Science (MS) degree in Kinesiology and Exercise Science from Arizona State University from 1990 to 2001. Additionally, they hold two Bachelor of Science (BS) degrees, one in Electrical and Electronics Engineering and the other in Computer Science Engineering, from The University of Toledo, where they studied from 1984 to 1990.

In terms of certifications, John obtained several from Coursera, including Statistical Inference, Getting and Cleaning Data, Exploratory Data Analysis, An Introduction to Interactive Programming in Python, and Computing for Data Analysis. The exact years or months of obtaining these certifications were not provided.