Matthew Oberhardt

WORK HISTORY

EDUCATION

SKILLS

ABOUT MATTHEW OBERHARDT

I’m a data science leader with a background spanning biomedical engineering, computational biology, healthcare, and applied AI. My work has focused on building rigorous, practical systems that extract structure from complex data, including earlier research on biological networks, through to current work with experience data and large language models.At Qualtrics, I divide my time between two areas that reflect those interests:• Healthcare: I lead the company’s healthcare data science efforts, developing models, analytics, and frameworks that help health systems understand and improve the patient experience.• AI R&D: In parallel, I direct applied research in generative AI for synthetic survey data. This involves integrating statistical analysis, language modeling, and experimental design to expand how insight can be generated from proprietary datasets.Before joining Qualtrics, I worked at NewYork-Presbyterian Hospital, where I built data-science processes that combined clinical analytics and intelligent automation; led applied clinical-informatics research to track and improve maternal outcomes (holding an adjunct faculty post in the Department of Obstetrics and Gynecology at Columbia University Irving Medical Center); and advised hospital leadership and coordinated data-science efforts during the peak of COVID-19.My academic work across computational biology and biomedical informatics has been cited more than 2,900 times.Across all of these domains, my aim has been consistent: to bring clarity and structure to ambiguous problems by combining scientific rigor with applied purpose.