Kevin Coyle
About Kevin Coyle
Kevin Coyle is a Data Engineer at U.S. Preventive Medicine, Inc. since 2020, specializing in data science and epidemiology, with a strong background in statistics and biomedical engineering.
Work at U.S. Preventive Medicine
Kevin Coyle has been employed as a Data Engineer at U.S. Preventive Medicine, Inc. (USPM) since 2020. In this role, he focuses on data engineering tasks that support the organization's mission of preventive healthcare. His work involves analyzing data to identify trends and factors related to health outcomes, contributing to USPM's initiatives in public health.
Education and Expertise
Kevin Coyle holds a Master of Science in Statistics from Florida State University, which he completed from 2019 to 2021. He also earned a Bachelor of Science in Biomedical/Medical Engineering from Florida Institute of Technology between 2013 and 2017. Additionally, he obtained a Master's degree in Kinesiology and Exercise Science from Jacksonville University, studying from 2017 to 2019. His educational background supports his specialization in identifying disease markers and factors impacting health.
Background in Data Science and Research
Kevin Coyle has developed a diverse background in data science and research. He worked as a Statistician at Jacksonville University from 2019 to 2020 and held multiple research assistant positions at the same institution and Florida Institute of Technology. His experience includes analyzing data related to health and disease, which informs his current work in data engineering.
Previous Experience in Various Roles
Prior to his current position, Kevin Coyle gained experience in various roles, including an Informatics Intern at U.S. Preventive Medicine in 2018 and an R&D Engineer at Sun Nuclear Corporation in 2017. He also worked as a Social Media Specialist for Men's Lacrosse at Florida Institute of Technology and as a Professional Photographer at Cady Studios. These roles contributed to his interdisciplinary skill set.
Professional Development and Approach
Kevin Coyle's professional development is characterized by a proactive and preventative approach to data science, inspired by his clinical experiences. He emphasizes the importance of understanding the etiology and pathogenesis of diseases, which enhances his contributions to public health initiatives.