jenhicks@stanford.edu
Clark Center, Room S342
Research Interests
Jennifer Hicks is Executive Director of the Wu Tsai Human Performance Alliance at Stanford, with a focus on collaborative research projects and programs to advance our understanding of the biological principles underlying human performance. Dr. Hicks also serves as the Director of Research for the Mobilize Center, an NIH Biomedical Technology Resource Center at Stanford University and the Restore Center, an NIH-funded center that brings state-of-the-art engineering tools to rehabilitation scientists. Her research is focused on combining biomechanical modeling with statistical and machine learning methods to predict the effects of surgery and other interventions on human movement. She is also using data from mobile phones and other novel sources to understand physical activity and performance. Dr. Hicks also helps run the multi-faceted training and outreach programs of the Human Performance Alliance, the Mobilize Center and the Restore Center. In addition, as the Director of Research and Development for the OpenSim software project, she guides the project’s development team and serves as the voice of the software user/researcher.
Degrees
Ph.D. in Mechanical Engineering, Stanford University, 2010
M.S. in Mechanical Engineering, Stanford University, 2006
B.S. in Biomechanics, University of Delaware, 2004
Honors and Awards
Bio-X Graduate Student Fellowship, 2006
NSF Graduate Research Fellowship, 2004
AAUP Student Award for Graduate Study, 2004
Phi Kappa Phi Award for Undergraduate Research, 2004
Young Investigator Award, GCMAS Meeting, 2003
Representative Publications
See Stanford Profile page for complete list of publications.
Hicks, J.L., Uchida, T.K., Seth, A., Rajagopal, A., Delp, S.L. Is my model good enough? Best practices for verification and validation of musculoskeletal models and simulations of movement. Journal of Biomechanical Engineering, 2015.
Ong, C.F., Hicks, J.L., Delp, S.L. Simulation-Based Design for Wearable Robotic Systems: An Optimization Framework for Enhancing a Standing Long Jump. IEEE Transactions on Biomedical Engineering, 2015.
Dorn, T.W., Wang, J.M., Hicks, J.L., and Delp, S.L. Predictive simulation generates human adaptations during loaded and inclined walking. PLOS One, 2015.
Hicks, J.L., Delp, S.L., Schwartz, M.H. Can biomechanical variables predict improvement in crouch gait? Gait and Posture, 2010.
Hicks, J.L., Schwartz, M.H., Delp, S.L. Modeling and Simulation of Walking, In Diagnosis and Management of Movement Abnormalities in Cerebral Palsy. Edited by J.R. Gage and M. Schwartz, Cambridge Press.
Hicks, J., Arnold, A., Anderson, F., Schwartz, M., Delp, S. The effect of excessive tibial torsion on the capacity of muscles to extend the hip and knee during single-limb stance. Gait & Posture, 2007.