Lab Director

Colin G. Walsh, MD, MA, is an Assistant Professor of Biomedical Informatics, Medicine, and Psychiatry at Vanderbilt University Medical Center. He is a practicing internist. He received a degree in Mechanical Engineering from Princeton University and his medical degree at the University of Chicago. He completed residency and chief residency in internal medicine at Columbia University Medical Center. He received a degree in Biomedical informatics in postdoctoral fellowship at Columbia University. He joined the faculty at Vanderbilt University in 2015. His research includes: 1) applied predictive modeling to enable behavioral health and prevention; 2) scalable phenotyping for precision medicine; and 3) population health informatics to combat the overdose crisis. When he’s not working on the above, he likes to climb walls. 

Staff

Michael Ripperger, Application Developer

Katey Robinson, Project Manager

Katey is a Tennessee native who grew up in Lincoln County. After graduating from the University of Tennessee, Knoxville, she spent several years as a medical scribe and project manager. She implemented and managed scribe programs for numerous healthcare systems across the U.S. including in Vanderbilt’s Department of Urologic Surgery. She provides project support across the Walsh Lab’s research portfolio and facilitates day to day lab administration.

Drew Wilimitis, Statistical Analyst

Drew is from Chicago, IL, and he received a Bachelor of Science in Computational and Applied Mathematics from the University of Chicago. He has a background in data science and applied machine learning, with particular interests in network science and topological data analysis. He aspires to apply mathematical methods in order to study psychology and behavioral health from first principles. In his free time, he enjoys reading philosophy, watching teen dramas on Netflix, and listening to obscure comedy podcasts.

Students

Ioana Danciu

Ioana is a second decade PhD student in the Walsh Lab. Her research focuses on predictive deep learning models using multi-modal data.

Barrett Jones

Barrett is a PhD student from Salt Lake City, Utah. He has a master’s degree in Statistics from Columbia University and prior to moving to Nashville worked as a data analyst at New York-Presbyterian Hospital. He is interested in applying machine learning to better understand depression treatment trajectories. In his free time he enjoys golfing, biking and skiing.

Matt Lenert

Matt completed his undergraduate degree at Emory University in Economics & Mathematics. He then worked for the electronic health record company Epic Systems as a Technical Service Consultant before returning to the South East to pursue a doctorate in Biomedical Informatics at  Vanderbilt. He has technical concentrations in analytics, biostatistics, and machine learning. His research interests include temporal modeling, Recurrent Neural Networks, public health informatics, and feature selection.

Lab Alumni

  • Henning Ander 
  • John “Jack” Angiolillo 
  • William “Jake” Lancaster 
  • Dara Mize 
  • Chris Puchi 
  • Lina Suleiman