UX Researcher | Research Scientist | App Developer

My dissertation focused on creating human-centric supervisors for complex machine learning. Over the last four years, I developed a methodology for providing promising results to machine learning through the use of human-centric datasets. As a UX Researcher, I developed assistive interactive interfaces for therapists and patients in the realm of stroke rehabilitation. Both my interfaces have been evaluated at the Shirley Ryan AbilityLab in Chicago (#1 rehabilitation hospital in the world). I have worked with over nine stroke survivors and therapist occupational and physical therapists to develop multiple interactive interfaces. My research focused on taking a mixed-methods approach to understand how to computational increase human intelligence. The goal of this methodology and my research was to empower, not replace the human.

My research goals included:

1. Identifying and understanding the needs of the different (and emergent) stakeholders encountered throughout the development process

2. Revealing expert human knowledge for human movement performance

3. Determining the optimal functionality for the digital support tools required to address stakeholder needs

4. Making explicit human knowledge computable

5. Optimizing the data capture and storage approach for data analysis

6. Capturing high-quality data to assist in the development of computer vision algorithms