Dr. Naveena Yanamala, PhD
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). Dr. Yanamala also holds other academic appointments as an Associate member of Biomedical Engineering Graduate Program at Rutgers University (New Brunswick, NJ), an Adjunct Faculty at the Institute for Software Research, Carnegie Mellon University (Pittsburgh, PA), and the Center for Computational Natural Sciences and Bioinformatics, IIIT (Hyderabad, India). Currently, she also serves on the Editorial Board of International Journal of Nanomaterials, Nanotechnology and Nanomedicine and TCABSE-J interdisciplinary Sciences Journal and is Associate Editor for Translational Systems Biology and In Silico Trials.
Dr. Yanamala has 14+ years of experience in conducting effective interdisciplinary research at the intersection of biology, health, and computation. She has made over 100 scholarly contributions, including nearly 80+ peer-reviewed research papers (h-index =37; i10-index = 60; Sep 2022). She received several accolades including Winner of the NIH NIHLBI Big Data Analysis Challenge: Creating New Paradigms for Heart Failure Research (2020), awardee (2018) or finalist/honorable mentions (2014, 2018, 2020, 2021, 2022) 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 on original research published by a CDC Scientist, Best Scientific Methodology Award (2017) in the young investigator category at the AE-SOT.
As an applied ML/AI scientist, her research efforts have focused over the years on issues as varied as
(a) Identifying factors that mitigate toxicity to enable safe-design of novel engineered materials,
(b)Developing biomarkers of exposure/disease, to classify or predict disease outcomes in environmental/occupational settings,
(c)Automation of medical diagnostic processes and healthcare forecasting (e.g., pathology, radiology, smart scheduling),
(d)Cardiovascular pathophysiology and
(e) Scalable solutions for intelligent automation in public health surveillance. Most of her research has been at the heart of such endeavors ranging from providing improved insights through to automation, combining informatics, data science, computational biology, toxicology, and medical sciences. Her 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.
Dr. Yanamala received her Ph.D. in Integrative Systems Biology in 2009 from University of Pittsburgh and her MS in Information Technology with specialization in Bioinformatics, from International Institute of Information Technology, Hyderabad, India along with an internship in ML from Carnegie Mellon University in 2004. She possesses a Bachelor of Science degree from S. V. University in Computer Science.