معرفی
Scott Uhlrich is a Researcher at the Human Performance Laboratory at Stanford University. He holds a Ph.D. in Mechanical Engineering (2020) from Stanford, along with an M.S. (2016) and B.S. (2014) in the same field from Baylor University and Stanford, respectively.
- BS, Mechanical Engineering, Baylor University (2014)
- MS, Mechanical Engineering, Stanford University (2016)
- PhD, Mechanical Engineering, Stanford University (2020)
His research integrates biomechanics, machine learning, and musculoskeletal simulations to enhance human mobility. A co-developer of OpenCap (opencap.ai), a cloud-based tool for movement analysis via smartphones, he focuses on scalable solutions for biomechanical assessment. He also develops non-surgical interventions for knee osteoarthritis, such as gait modifications, using quantitative MRI for evaluation.
Key trends in his 15 most recent publications include advancing markerless motion capture, applying machine learning to musculoskeletal modeling, and validating smartphone-based diagnostics for conditions like osteoarthritis. His work also explores real-time biofeedback and wearable sensors to improve movement dynamics.
Scientific Awards:
- OpenSim Fellow (2022)
- NSF Graduate Research Fellowship (2015)
- Stanford Graduate Fellowship (2014)
- Clinical Biomechanics Award Finalist (ISB, 2021)
- Young Investigator Award (OARSI World Congress, 2019)
- De Luca Student Travel Award (2018)
Uhlrich contributes to teaching through Scientist Spotlight slides and a Careers in Biomechanics lecture, promoting diversity in biomechanics education. He also leads the development of tools like OpenCap for large-scale movement analysis.
