Overview
As a leader in bridging the gap between research and industry in machine learning, I have led projects and developed algorithms for the largest companies in the world. More importantly, I have built algorithms that have meaningful impacts - from helping people walk to noninvasively monitoring glucose.
Learn more: https://runsdata.org
Current Appointments & Affiliations
Executive in Residence in the Engineering Graduate and Professional Programs
·
2024 - Present
Engineering Graduate and Professional Programs,
Pratt School of Engineering
Recent Publications
Semantic Approach to Quantifying the Consistency of Diffusion Model Image Generation
Preprint · April 12, 2024 Link to item CiteReleasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following models
Preprint · November 27, 2023 Link to item CiteGoodbye Electronic Health Record?
Journal Article Stud Health Technol Inform · August 31, 2022 The Electronic Health Record has failed to meet its intended purpose. We propose a new approach focusing on the use of data for health and health care. The first step is to create a repository of all patient data with data storage independent of data use. ... Full text Link to item CiteRecent Grants
CAREER: Resolving action potentials and high-density neural signals from the surface of the brain
ResearchGraduate Student · Awarded by National Science Foundation · 2018 - 2024Expanding the Open mHealth Platform to include a Digital Biomarker Discovery Pipeline (DBDP)
ResearchGraduate Student · Awarded by Chan Zuckerberg Initiative · 2020 - 2022High resolution awake cortical recordings to analyze the role of spreading depolarizations during dynamic stroke evolution
ResearchGraduate Student · Awarded by National Institutes of Health · 2019 - 2021View All Grants
Education, Training & Certifications
Duke University ·
2021
Ph.D.
Duke University ·
2018
M.S.
North Carolina State University ·
2016
B.S.