work
I am currently a professor in Artificial Intelligence at Duke University and an AI/ML research scientist. I am also a technical advisor to startups.
My current research interests are in Responsible AI, including the evaluation and benchmarking of generative AI systems and the application of interpretable and explainable ML to high risk domains like healthcare.
Previously, I was Managing Partner and a senior data scientist at Edge Analytics, a boutique machine learning consulting firm, where I led projects and developed algorithms for the largest companies in the world. I have created technology for products spanning health & wellness, fitness & sports, privacy/compliance, interior design, and energy forecasting.
Other cool stuff I've done:
- Founder of the Digitial Biomarker Discovery Pipeline (DBDP), an open-source platform for health algos
- Developed ML models to predict glucose noninvasively using a smartwatch during my PhD at Duke
- Won an international competition for electronic health record FHIR integration
- Led a team creating ML algorithms for sports medicine at the Duke KLab
- Created a closed loop spinal cord stimulation system for my Masters thesis
- Built hardware for asthma monitoring and sleep monitoring wearables at the NSF ASSIST Center
- Gave a TEDx talk titled "The Future of Medicine is Digital" LINK
- Was a caregiver at a nursing home for Alzheimer's patients and at a respite home for children with cerebral palsy.