About
Professional
Education Ph.D. Mechanical Engineering (in progress), Stanford University M.S. Mechanical Engineering, Stanford University B.S. Engineering, Harvey Mudd College Goal improve health, mobility, and quality of life for individuals across the lifespan Expertise human movement; musculoskeletal simulation; wearable sensing; imaging; statistical modeling; machine learning A copy of my resume can be found here, and my research and portfolio can be viewed through this site. Personal Hometown Swarthmore, Pennsylvania Interests skiing, tennis, trying new (preferably spicy!) foods |
I am a Mechanical Engineering doctoral researcher in the Neuromuscular Biomechanics Lab at Stanford University. I study human health and mobility using biomechanical and statistical modeling. My leading value of helping others through my work, combined with my passions for design thinking, human movement, and problem-solving, has led me to where I am today as a researcher seeking novel approaches to study mobility.
With its heavy emphasis on interdisciplinary research, Stanford allows curious investigators like me to bring together many passions. In NMBL, I have worked on projects in video assessment, wearable sensing, statistical learning, musculoskeletal modeling and simulation, and statistical shape modeling. I am grateful for the opportunity to collaborate with great teams of multidisciplinary experts. My recent research foci are:
During my PhD, I have intentionally developed machine learning, statistics, and other technical skills, as well as communication, collaboration, and project management skills, to become a better researcher and team member in the human movement space. I have been fortunate to apply these skills in the areas of sports with the Philadelphia Phillies and medical devices with Petal Surgical.
Beyond research, I currently support Harvey Mudd College as a member of the Alumni Association Board of Governors. At Stanford, I am a Stanford Data Science Scholar, helping to weave data science into the fabric of the interdisciplinary Stanford research community.
I'd love to chat - please email or connect with me on LinkedIn through the links below!
With its heavy emphasis on interdisciplinary research, Stanford allows curious investigators like me to bring together many passions. In NMBL, I have worked on projects in video assessment, wearable sensing, statistical learning, musculoskeletal modeling and simulation, and statistical shape modeling. I am grateful for the opportunity to collaborate with great teams of multidisciplinary experts. My recent research foci are:
- Using wearable sensors and deep learning to detect freezing of gait in individuals with Parkinson's disease
- Understanding the impacts of walking gait on bone health in children with pathological gait
- Identifying patient-specific determinants of intervention success in patellar instability, using novel 3D imaging measures and machine learning techniques
During my PhD, I have intentionally developed machine learning, statistics, and other technical skills, as well as communication, collaboration, and project management skills, to become a better researcher and team member in the human movement space. I have been fortunate to apply these skills in the areas of sports with the Philadelphia Phillies and medical devices with Petal Surgical.
Beyond research, I currently support Harvey Mudd College as a member of the Alumni Association Board of Governors. At Stanford, I am a Stanford Data Science Scholar, helping to weave data science into the fabric of the interdisciplinary Stanford research community.
I'd love to chat - please email or connect with me on LinkedIn through the links below!