Dr. Lauren Neal has more than 15 years of experience in the life sciences industry with a focus on creating and delivering data science and artificial intelligence solutions to accelerate precision medicine innovation.
Lauren leads efforts to aggregate, analyze, and interpret health information, developing new processes, solutions, and information architectures that leverage a variety of data types—medical images, electronic health records, wearable data, and -omics data. She serves as a capability lead for investments and client engagements across multiple federal health clients, including the U.S. Food and Drug Administration, the National Institutes of Health, and military health organizations. Lauren implements strategies for extracting information from complex data sources, conducting pharmaceutical adverse event signal detection analytics, enabling population health surveillance solutions, and implementing cloud-based bioinformatics pipeline development for precision medicine.
Lauren is the founder of the Booz Allen Women in Data Science group, which aims to develop diverse data science leaders and inspire the next generation of women data scientists. In addition, she leads efforts to develop data-driven solutions for not-for-profit organizations, and her work advancing Data Science for Social Good initiatives was recognized with a Booz Allen Excellence Award in 2017.
Lauren has a Ph.D. in biomedical engineering from the Johns Hopkins University School of Medicine and a B.S. in electrical engineering from the University of Pennsylvania.