Phillip Sherlock

Data Scientist IV

Phillip.Sherlock@ufl.edu

Dr. Sherlock joined the Center full-time in 2023 as a Data Scientist IV. In this role, he serves as a specialist in the use of integrated data for transdisciplinary research and policy development for the Sunshine State Early Childhood Integrated Data Systems Portal Project. Dr. Sherlock passionately advocates for research-practice partnerships that prioritize participant engagement in methodological and programmatic decisions.

Dr. Sherlock’s notable contributions include methodological leadership in the development of Florida’s Sunshine State Early Childhood Integrated Data Systems Portal, a statewide repository of administrative data related to socialized health and education services for families with children from birth to five. He has successfully established and nurtured collaborations with various research teams within the NIH Environmental Influences on Child Health Outcomes (ECHO) consortium.

In his role as a research methodologist, Dr. Sherlock excels in person-centered machine learning techniques. This expertise proves invaluable in understanding complex interactions, contextualized risk, and effect heterogeneity. He utilizes these techniques with the overarching goal of evaluating and developing targeted interventions.

Selected Publications

* Master’s, doctoral student, or post-doctoral fellow co-author

Peer-Reviewed Publications and Journal Articles

Sherlock, P., Mansolf, M., Blackwell, C. K., Blair, C., Cella, D., Deoni, S., … & Zelazo, P. D. (2023). Life satisfaction for adolescents with developmental and behavioral disabilities during the COVID-19 pandemic. Pediatric research, 1-8.  

 

Sherlock, P., Blackwell, C. K., Kallen, M. A., Lai, J. S., Cella, D., Krogh-Jespersen, S., … & Wakschlag, L. S. (2022). Measuring PROMIS® emotional distress in early childhood. Journal of pediatric psychology, 47(5), 547-558.

 

Sherlock, P., DiStefano, C., & Habing, B. (2022). Effects of Mixing Weights and Predictor Distributions on Regression Mixture Models, Structural Equation Modeling: A Multidisciplinary Journal, 29(1), 70-85. DOI: 10.1080/10705511.2021.1932508.

Asha Yadav

Degrees

Ph.D. in Educational Psychology and Research
University of South Carolina, 2019

Key UF Professional Appointments

Data Scientist IV, University of Florida, 2023 – present

Research Consultant, Early Childhood Policy Research Group, 2017- 2023

Review Panels, Advisory Boards, Committees and Consulting
National

Member, Child Care and Early Education Policy Research Consortium, The Administration for Children and Families, 2015 – present
Member, Environmental Influences on Child Health Outcomes Research Consortium, National Institutes of Health, 2020 – 2023

Fellowships

Lokey Doctoral Science Fellowships, University of Oregon, 2022

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