John Dewitt
Director Of Applied Sports Science at Various Scientific Journals
Houston, Texas, United States
Summary
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Senior🎓
Top SchoolJohn Dewitt is a Director of Applied Sports Science and data-driven biomechanist with over 30 years blending engineering, rehabilitation science, and applied data science to optimize athlete performance and reduce injury. He holds a Ph.D. in Rehabilitation Science and a postgraduate diploma in Applied Data Science from Columbia, and spent two decades at NASA Johnson Space Center developing human-performance methods for microgravity. At Rice University and through his consultancy DeWitt Method, he builds integrated athlete-management systems, ETL pipelines, and bespoke analytics for elite pro and collegiate teams using tools like R, Python, SQL and sports data platforms (Kinetrax, Kinexon, Catapult). His background in electrical and computer engineering plus hands-on HCI and computer-vision interests informs novel sensing and recovery solutions not typical in sports science teams. A seasoned communicator and educator, he translates complex biomechanical models into actionable coaching insight and has led cross-disciplinary programs from lab experiments to on-field implementation. Based in Houston, he combines academic rigor, spaceflight research experience, and practical sport operations to deliver measurable performance gains.
14 years of coding experience
M.S. Exercise Science and Physical Education, M.S. Exercise Science and Physical Education at Arizona State UniversityPostgraduate Diploma Applied Data Science, Postgraduate Diploma Applied Data Science at EmeritusB.S. Computer Science Engineering, B.S. Computer Science Engineering at The University of ToledoPh.D. Graduate School of Biomedical Sciences, Ph.D. Graduate School of Biomedical Sciences at The University of Texas Medical Branch
French, Spanish, Arabic, Russian, German
Github Skills (20)
opencv10
camera-calibration10
projector10
camera10
mjpg-streamer10
computer-vision10
cpp10
triangulation10
3d-reconstruction10
raspberry-pi9
eye-tracking8
reflections6
points6
battery4
python3
Programming languages (5)
Github contributions (5)
jhdewitt/sltk
Feb 2017 - Apr 2018
An OpenCV-based structured light processing toolkit.
Contributions:27 commits, 48 pushes, 1 branch in 1 year 1 month
structured-light-for-3d-scanningstructured-light3d-scannercameraprojector
xef6/eyetracker
May 2012 - May 2012
Take images of an eye+reflections and find on-screen gaze points.
Contributions:5 commits in 1 day
screen-onpythoneyeimage-processingreflections
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