David E. Bard, PhD, is Professor of Pediatrics at The University of Oklahoma Health Campus, where he serves as Director of the Biomedical and Behavioral Methodology Core (BBMC) and Chief Research Informatics Officer. He is also Director of the Environmental and Biological Research on Adversity and Resiliency (EmBRACER) center.
Dr. Bard's work sits at the intersection of implementation science, advanced quantitative methods, and research informatics. His research focuses on understanding and improving outcomes related to early-life adversity and Adverse Childhood Experiences (ACEs), with an emphasis on translating evidence into scalable, real-world service systems.
Across his roles, he leads interdisciplinary efforts that integrate clinical, administrative, and biological data to support learning health systems, improve program effectiveness, and accelerate the adoption of evidence-based interventions in child health and human services settings.
Academic Section(s):
Developmental and Behavioral Pediatrics
Clinical/Research Interests:
- Adverse Childhood Experiences (ACEs) and early-life adversity
- Implementation and dissemination science
- Home visiting and child welfare systems
- Measurement and psychometrics
- Research informatics and data integration
- Learning health systems and AI-enabled research
Select Publications:
Link to Dr. Bard's current publications
Aversity & Resiliency Research
Skowron EA, Nekkanti AK, Skoranski AM, Scholtes CM, Lyons ER, Mills KL, Bard D, Rock A, Berkman E, Bard E, Funderburk BW. Randomized trial of parent-child interaction therapy improves child-welfare parents' behavior, self-regulation, and self-perceptions. J Consult Clin Psychol. 2024 Feb; 92(2):75-92. doi: 10.1037/ccp0000859. Epub 2023 Dec 7. PubMed PMID: 38059943; PubMed Central PMCID: PMC10894622; manuscript-id: NIHMS1966451; NIHMSID: NIHMS1966451.
Yamaoka Y, Bard DE. Positive Parenting Matters in the Face of Early Adversity. Am J Prev Med. 2019 Apr;56(4): 530-539. PubMed Central PMCID: PMC10954083.
Methodological Work
Liao X, Song H, Bard D. Predicting Successful Treatment Completion Using Baseline Case Characteristics through Machine Learning and Ensemble Modeling: A Two-Step Approach. Chinese Political Science Review. 2024/11. doi: 10.1007/s41111-024-00265-z.
Bard DE, Wolraich ML, Neas B, Doffing M, Beck L. The psychometric properties of the Vanderbilt attention-deficit hyperactivity disorder diagnostic parent rating scale in a community population. J Dev Behav Pediatr. 2013 Feb; 34(2):72-82. doi: 10.1097/DBP.0b013e31827a3a22. PubMed PMID: 23363972.
Research Informatics & Learning Healthcare Systems
Anzalone AJ, Patrick S, Abel A, Price B, Reisher E, Ripplinger K, Emmett M, Horswell R, Chu S, Hillegass WB, Sy FS, Melancon B, Bunnell HT, Miele L, Mays MH, Kaholokula JK, Chen ES, Crowley KM, Sarkar IN, Santangelo SL, Rosen CJ, Harper J, Bard D, Beasley W, Hodder SL. Building a collaborative ecosystem across the IDeA-CTR networks in response to a public health emergency. J Clin Transl Sci. 2025;9(1):e168. PubMed Central PMCID: MC12444709.
Wright CV, Goodheart C, Bard D, Bobbitt BL, Butt Z, Lysell K, McKay D, Stephens K. Promoting measurement-based care and quality measure development: The APA mental and behavioral health registry initiative. Psychol Serv. 2020 Aug; 17(3):262-270. doi: 10.1037/ser0000347. Epub 2019 Apr 25. PubMed PMID: 31021113.