Christopher W. Bartlett, PhD

Nationwide Children's Hospital Medical Professional

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Biography

Throughout Dr. Bartlett’s career, he has dedicated his time to the development of innovative statistical methods to enhance our understanding of childhood development, from pre-term birth to young adulthood. Specializing in the design and application of data analytic paradigms, his work significantly contributes to elucidating the complex interplay between environmental factors and childhood intrinsic characteristics.

His lab uses a blend of clinical data, genetics, and hypothesis-driven informatics to address specific scientific questions. Alongside more traditional research, he conducts studies leveraging big data approaches, including machine learning and artificial intelligence, on both large structured datasets and unstructured data such as images. Much of his work focuses on extracting information from complex sources of raw data that contain data not missing randomly.

See Christopher W. Bartlett’s Curriculum Vitae (CV)

Academic and Clinical Areas
Awards, Honors & Organizations
  • Bartlett et. al. in top ten best research papers on child development by Center of Excellence on Early Childhood Development, Université de Montréal, 2002
  • Graduate Fellowship for Academic Excellence, Johnson & Johnson, 1998
  • Inducted into Psy Chi, The National Honor Society for Psychology Students, 1998 - Present
Professional Experience

2014 - Present Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital, Associate Professor

2014 - Present The Ohio State University College of Medicine, Associate Professor of Pediatrics

2006 - 2014 The Ohio State University College of Medicine, Assistant Professor of Pediatrics

2006 - 2014 Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital, Assistant Professor

2006 - 2007 Center for Quantitative and Computational Biology, The Research Institute at Nationwide Children's Hospital, Assistant Professor

Contact Information
Institute for Genomic Medicine