Izzy is a PhD Rotation student working on developing a reinforcement learning model for standing balance control. She completed her MSc in Statistics at the University of British Columbia and her BSc in Statistics at Texas A&M University. She is interested in neuroscience, engineering, data science, and computational biology. Previously, Izzy has contributed to projects involving signal processing, biomarker analysis, large language models, and multi-omics integration.
Research Interests
- Biomechanics
- Machine Learning
- Rehabilitation
Honours & Awards
- Donor-funded award in the SBME PhD Rotation Program
Current Project
Using a reinforcement Learning paradigm to model exploration and exploitation behaviours in adolescent motor learning