Hope Norris

Hope Norris

Healthcare Analytics Manager @ Milliman

About Hope Norris

Hope Norris is a Healthcare Analytics Manager at Milliman and an Adjunct Professor at New York University. With a strong background in public health and neuroscience, she focuses on enhancing healthcare delivery and access through value-based insurance designs.

Work at Milliman

Hope Norris currently serves as Healthcare Analytics Manager at Milliman, a role she has held since 2023. In this position, she focuses on improving healthcare delivery and organization, specifically targeting vulnerable populations. Prior to her current role, she worked as a Senior Healthcare Data Analyst and a Healthcare Data Analyst at Milliman, contributing to various projects aimed at enhancing value-based insurance and payment designs.

Education and Expertise

Hope Norris earned her Master of Public Health (MPH) in Public Health Policy from New York University, completing her studies from 2020 to 2022. She also holds a Bachelor of Science (BS) in Neuroscience and Gender & Health from the University of Michigan, where she studied from 2016 to 2019. Her academic background equips her with a strong foundation in health policy and analytics.

Background

Hope Norris has a diverse background in research and education. She worked as a Research Assistant in various labs at the University of Michigan, including the van Anders Social Neuroendocrinology Research Lab and the McClelland Progress Lab. Additionally, she served as an Academic Peer Advisor and a Resident Advisor in the Women in Science and Engineering Residence Program, demonstrating her commitment to supporting fellow students.

Teaching Experience

Since 2024, Hope Norris has been an Adjunct Professor at New York University, where she has been teaching for 8 months. This role allows her to share her knowledge and expertise in public health with students, contributing to their academic and professional development.

Research Interests

Hope Norris is passionate about the applications of healthcare claims data in population health research. She believes that these data are essential for improving access to care and the quality of health services. Her focus on value-based insurance and payment designs reflects her commitment to enhancing healthcare systems for underserved populations.

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