Josephine Lamp, a University of Virginia computer science Ph.D. student, is leading a team of researchers in novel approaches to diagnostics for advanced heart failure. The research project has been named a winner of the National Heart, Lung, and Blood Institute Big Data Analysis Challenge: Creating New Paradigms for Heart Failure Research.

Team members are:

o Lu Feng, assistant professor with joint appointments in the Department of Computer Science and Engineering Systems and Environment
o Steven Lamp, fourth-year computer science student at Colorado State University
o Sula Mazimba, UVA Medical School associate professor of medicine and cardiovascular disease specialist
o Yuxin Wu, fourth-year computer science and economics student

The National Heart, Lung, and Blood Institute, or NHLB, is a part of the National Institutes of Health and put out the call for solutions in February. Specifically, the challenge was seeking to fund projects for an adult heart failure sub-phenotyping scheme that incorporates many disease-associated factors. The scheme was expected to create a new paradigm for supporting future research focused on the mechanism of heart failure development, diagnosis, and, ultimately, prevention and treatment.

The team’s project “Intelligently Characterizing Patient Hemodynamic Phenotypes for Advanced Heart Failure in the ESCAPE Trial Using Learned Multi Valued Decision Diagrams,” was one of five winning solutions chosen by NHLB because it offers novel, pragmatic, accessible research tools for a broad spectrum of heart failure researchers. Winning teams are awarded up to $50,000.

Lamp came to UVA Engineering as a Jefferson Fellow in 2018 after receiving her bachelor’s in biomedical informatics from Arizona State University. She also joined the Link Lab, UVA’s research incubator where more than 40 faculty and 200 graduate students design cyber-physical systems to transform transportation, cities and health care. Feng is Lamp’s advisor and she is also a member of the Link Lab.

Josephine Lamp

Josephine Lamp, a University of Virginia computer science Ph.D. student, is leading a team of researchers in novel approaches to diagnostics for advanced heart failure.