Leah Puglisi
About Leah Puglisi
Leah Puglisi is a Clinical Research Statistician at Scripps Health with a background in academic and healthcare settings.
Title and Current Position
Leah Puglisi is currently employed as a Clinical Research Statistician at Scripps Health. She began this role in February 2022. In her capacity, she leverages her statistical expertise to support a range of clinical research initiatives, contributing to healthcare advancements through rigorous data analysis.
Past Professional Experience
Leah Puglisi's professional journey includes diverse roles in both academic and healthcare environments. From 2021 to 2022, she worked as a Statistician at UNM HSC CBH. Prior to that, she was a Teaching Assistant at The University of New Mexico Department of Mathematics and Statistics from 2019 to 2020. Additionally, Leah served as a Student Statistician at UNM Hospitals for seven months in 2019. Her early career included roles as a Research Assistant at the UNM Department of Geography & Environmental Studies, a Peer Learning Facilitator at The University of New Mexico, and a Math tutor from 2014 to 2017.
Education and Qualifications
Leah Puglisi earned a Master's degree in Statistics from The University of New Mexico, where she studied from 2018 to 2020. Prior to that, she completed her undergraduate studies in Applied Mathematics and Statistics at the same institution, from 2014 to 2017. Her strong educational background has equipped her with the necessary skills to excel in statistical analysis and research.
Community-Focused Statistical Work
Throughout her career, Leah Puglisi has specialized in utilizing statistical analysis to drive community-focused initiatives. She has a proven track record in storytelling with data, using it as a tool to effect positive changes. Leah's passion for supporting causes important to her community is evident in her work across different roles and projects.
Diverse Experience in Academic and Healthcare Settings
Leah Puglisi brings a rich and diverse perspective to statistical applications thanks to her experience in both academic and healthcare settings. Her various roles have provided her with a comprehensive understanding of the different contexts in which statistical analysis can be applied, enhancing her ability to contribute effectively to her current role at Scripps Health.