Nancy J. McMillan

NISS Term Expiration: 
Professional Title: 
Associate Manager

Nancy McMillan has managed the Health Analytics Division within the Health Outcomes and Biotechnology Solutions (HOBS) Business Line since October 2017. Nancy leads a team of approximately 100 data scientists that supports the Health Business Unit and serves as an enterprise capability across Battelle’s contract research organization in statistics and machine learning. She and her team focus on data management, analytics, machine learning, statistics, natural language processing (NLP), and visualization in focused markets, including public health, healthcare, and pre-clinical and clinical studies. The team utilizes software development, NLP and knowledge management expertise to build search and discovery tools for scientific document and data repositories and pursues opportunities with scientific data coordinating centers that align with Battelle’s core scientific competencies.

Prior to leading the Health Analytics Division, Nancy served in a variety of research and management positions at Battelle. As a researcher and Project Management Professional, Nancy has worked and published on environmental exposure and risk assessment; transportation safety benefits; quantitative risk assessment related to chemical, biological, radiological and nuclear (CBRN) terrorism; bio surveillance; and bioinformatics. Nancy’s applied work has supported science-based decision-making by providing quantitative analysis that captures uncertainty. Nancy is currently the program manager for two Defense Technical Information Center programs focused on analytics and information sharing of DoD technical information.

Before joining Battelle, Nancy completed a two-year postdoc with the National Institute of Statistical Sciences. She holds a Bachelor of Science degree in Mathematics and Computer Science from Muskingum University, and a Master of Science and PhD in Statistics from The Ohio State University.

Technical Reports

  • The Effect of Airborne Particulate Matter on Daily Death Counts (1994) -
  • Hierarchical Image Reconstruction Using Markov Random Fields (1994) -
  • Analysis of Protein Activity Data by Gaussian Stochastic Process Models (1995) -
  • A Spatially Correlated Hierarchical Random Effects Model for Ohio Corn Yield (1994) -