Naveena Yanamala, PhD

Associate Professor of Medicine

Department(s) Medicine

Leadership

Section Chief of Clinical Research and AI Innovation

Director of Data Science and Machine Learning

Meet Dr. Yanamala

Dr. Naveena Yanamala is currently the Associate Professor of Medicine and the Director of Data Science and Machine Learning Research at the Rutgers Robert Wood Johnson Medical School (New Brunswick, NJ). Additionally, she serves as the Director of the Center for Innovation at RWJUH, an Editorial Board Member for the American Society of Echocardiography (ASE), and as a Special Government Employee on the Patient Engagement Advisory Committee for Center for Devices and Radiological Health at the US FDA. She has held several positions related to occupational safety and health research governance including steering committee member of the Center for Occupational Robotics Research (CORR) within the Division of Safety Research. Additionally, a liaison for the emerging technologies interest group (ETIG) focused on machine learning and artificial intelligence across CDC/NIOSH. Dr. Yanamala has 15+ years of experience in conducting effective interdisciplinary research at the intersection of biology, health, and computation, focusing on Data Driven Science, Digital Health, and Innovation. She has made over 100 scholarly contributions, including nearly 80+ peer-reviewed research papers (h-index = 40; i10-index = 66; Jan 2024). She received several accolades including Winner of the NIH NIHLBI Big Data Analysis Challenge (2020), awardee (2018) or finalist/honorable mentions (2014, 2018, 2020, 2021) of the Alice Hamilton Award for Excellence in Occupational Safety and Health Research and nominee (2017,2021) of the Charles C. Shephard Science Award for Outstanding Scientific Paper. Dr. Yanamala’s current research specifically focuses on the application/development of Machine- and Deep Learning approaches for biomedical image/signal processing and analysis in the field of Cardiology focused on early detection and disease diagnosis.