Lindsay Warrenburg, PhD

Lindsay Warrenburg, Ph.D., is a senior data scientist at the Healthcare Transformation Institute (HTI). As a data scientist, she has worked on projects for several healthcare companies, including using speech samples to detect vocal biomarkers consistent with COVID-19. Additionally, she has applied natural language processing (NLP) to uncover insights into human behavior in workplace collaboration platforms.

Outside of HTI, Dr. Warrenburg serves as the Associate Director of The Erdős Institute, a career development program aimed at preparing graduate students and post-docs for industry positions. In this role, she teaches the Deep Learning and UX Research Bootcamps and collaborates with corporate partners to develop data science projects that meet their key performance indicators. She has also been a data science mentor for Women in Data, Data Science 4 All / Women, Women in Music Information Retrieval, and has served on Tableau’s Academic Programs Advisory Council.

Dr. Warrenburg is a graduate of the University of Pennsylvania. She earned her Ph.D. in Music (Theory, Cognition, and Perception) and an interdisciplinary specialization in Cognitive and Brain Sciences from The Ohio State University. Her dissertation explored how and why people perceive and experience emotions from music listening, with a focus on sad music. For her work on emotion, Dr. Warrenburg won the international Aubrey Hickman Award for the best graduate research paper from the Society for Education, Music, and Psychology Research. She also received the national Early-Career Mentor Award from the Society of Music Perception and Cognition, reflecting her mentorship in data science and music cognition. Her music cognition research has been published in top journals, such as Music Perception, Psychomusicology: Music, Mind, and Brain, Music & Science, Journal of New Music Research, Empirical Musicology Review, and Humanities & Social Sciences Communications.