David Clizbe Email & Phone Number
Research Specialist @ University of Pennsylvania
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David Clizbe Location
- Philadelphia, PA, US
David Clizbe Work
- 2024 -now Research Specialist @
- 2025 -now Teaching Assistant @
- 2025 -now Research Technician @
- 2017 -now Visual Artist @ Self-employed
- 2018 -2025 Founder @
- 2018 -2025 Consultant @
- 2018 -2022 Product Design, Data Scientist @
- 2016 -2017 Graduate Researcher @
- 2016 -2017 Teaching Assistant @
- 2016 -2016 Teaching Assistant @
- 2015 -2015 Teaching Assistant @
- 2014 -2015 Non-tenure Track Assistant Professor of Kinesiology @
- 2012 -2013 Adjunct Professor of Kinesiology @
- 2011 -2013 Health Tech Data Science Consultant @ Kurbi
- 2011 -2011 Graduate Volunteer Technical Analysis and Technical Writing @
- 2010 -2011 Print Analyst and Field Kit Preparation @ Butler Balancing Co.
David Clizbe Education
- Thinkful
Full Time Immersive Certification Course (Designed and tested a supervised learning algorithm that is effective in classifying EMG patterns such that a known biomechanical gesture associated with that EMG pattern can be recognized by the computer. Designed and tested an unsupervised learning algorithm that is effective in successfully classifying the phases of the gait cycle from a dual belt instrumented treadmill based motion capture system.)
2020-2020 - University of Delaware
Master of Science (Sigma Phi Delta)
2007-2011 - University of Delaware
Bachelor of Science (Sigma Phi Delta Professional Engineering Fraternity)
2002-2006
David Clizbe Summary
- David Clizbe, based in Philadelphia, PA, US, is currently a Research Specialist at University of Pennsylvania. David Clizbe brings experience from previous roles at University of Pennsylvania, United States Veterans Association (USVA), Self-employed and inflection Point Arts & Sciences. David Clizbe holds a 2020 - 2020 Full Time Immersive Certification Course in Designed and tested a supervised learning algorithm that is effective in classifying EMG patterns such that a known biomechanical gesture associated with that EMG pattern can be recognized by the computer. Designed and tested an unsupervised learning algorithm that is effective in successfully classifying the phases of the gait cycle from a dual belt instrumented treadmill based motion capture system. @ Thinkful. David Clizbe has 4 emails and 2 mobile phone numbers on RocketReach.
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