ListenDNA Podcast Season 4 Launches TODAY—EP 1 ft. Peter Embi
Welcome to Fall Semester! Introducing our 2023 DBMI Students
DBMI Faculty Join VUMC Healthcare AI Sessions Conference—9/20/23
Faculty Position Opening in VCLIC—Apply Today!
Matt Christensen, MD
Matt Christensen (he/him) received his MD from the University of Michigan, Ann Arbor (May 2017). Matt is a clinical fellow in Pulmonary and Critical Care at VUMC. Matt is pursuing his master's degree in biomedical informatics.
Nick Jackson
Nick Jackson completed his BS in Computer Science at the University of Florida in Spring 2023. His undergraduate research focused on the applications of signal processing and machine learning techniques to medical imaging. Nick Participated in the 2022 Vanderbilt Biomedical Informatics Summer Program mentored by Dr. Brad Malin where he assessed the fairness of machine learning models for diagnostic tasks.
Nick is a PhD student funded by the National Library of Medicine T15 Training Grant. His primary research interests are in the development of computational methods, particularly as they apply to the social impacts of automated or algorithmic decision-making. Thus far his main research focus is on the use of synthetic data to promote algorithmic fairness and privacy when sharing biomedical data for research.
Google Scholar: https://scholar.google.com/citations?user=ve19UQsAAAAJ&hl=en
Hyunjoon Lee, MS
Hyunjoon (Joon) Lee is a PhD student in the Department of Biomedical Informatics at Vanderbilt University Medical Center. Prior to joining DBMI, Joon was a Senior Data Analyst at Massachusetts General Hospital where he worked on suicide risk prediction modeling and precision psychiatry under Dr. Jordan W. Smoller. At Vanderbilt, Joon’s research focuses on improving suicide risk prediction and prevention, as well as developing AI-assisted tools to facilitate the retrieval and documentation of social and behavioral factors within electronic health record systems.
Advisor: Colin G. Walsh, MD
Katie Brown, PhD
Katie Brown, PhD, received her PhD degree in engineering (computer science) from Tennessee Technological University (graduated July 2023). Katie is a non-degree postdoc funded from the National Library of Medicine (NLM)