Kristina Boyd, Ms, G Stat

Associate Statistician @ University of Pittsburgh

About Kristina Boyd, Ms, G Stat

Kristina Boyd is an Associate Statistician at the University of Pittsburgh School of Pharmacy, where she has worked since 2020. She holds a Master of Science in Biostatistics and is currently pursuing a PhD in Epidemiology, with research interests in social and spatial epidemiology and statistical modeling.

Current Role at University of Pittsburgh

Kristina Boyd serves as an Associate Statistician at the University of Pittsburgh School of Pharmacy. She has held this position since 2020, contributing to various statistical analyses and research projects. Her role involves applying statistical methods to support research initiatives within the School of Pharmacy.

Previous Experience at University of Pittsburgh

Prior to her current role, Kristina Boyd worked at the University of Pittsburgh Graduate School of Public Health in multiple capacities. She served as a Graduate Teaching Assistant from 2017 to 2018 and again in 2019. During her tenure, she supported faculty in delivering course content and assisted students in understanding complex statistical concepts.

Educational Background

Kristina Boyd earned her Master of Science (MS) in Biostatistics from the University of Pittsburgh Graduate School of Public Health, completing her studies from 2017 to 2019. She is currently pursuing a Doctor of Philosophy (PhD) in Epidemiology at the same institution, with an expected completion date in 2024. Additionally, she holds a Bachelor of Science (S.B.) in Biology and Chinese from the Massachusetts Institute of Technology, which she completed from 2009 to 2013.

Research Interests and Consulting Services

Kristina Boyd's research interests focus on social and spatial epidemiology, particularly in relation to polysubstance use disorder and firearm-related violence. She also engages in boutique statistical consulting services, providing expertise to clients in the nonprofit and social justice sectors. Her research methodologies include Bayesian multilevel hierarchical modeling and latent class analysis.

Professional Experience in Clinical Research

Kristina Boyd has a background in clinical research, having worked as a Clinical Research Associate at Respiratory Motion, Inc. from 2014 to 2015. She also served as a Clinical Data Abstractor at Massachusetts General Hospital from 2015 to 2018. These roles involved data collection, analysis, and interpretation to support clinical studies.

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