Hye Chang
About Hye Chang
Hye Chang is a data scientist with extensive experience in healthcare analytics and policy. Currently employed at Quartet Health, Chang has previously worked in various roles, including data science positions at Crime Lab and Education Lab New York, and as a paralegal at the New York County District Attorney's Office.
Work at Quartet Health
Hye Chang has been employed at Quartet Health as a Data Scientist since 2022. In this role, Chang focuses on maintaining and improving a flagship algorithm that matches patients with service providers to enhance tele-health support. Additionally, Chang triages patient referral volume issues by monitoring patterns in patient clinical needs, preferences, and provider supply.
Previous Experience in Data Science
Prior to joining Quartet Health, Hye Chang worked as a Data Scientist at Crime Lab and Education Lab New York from 2019 to 2022. During this time, Chang developed a predictive algorithm that identifies populations with significantly higher emergency room utilization and future costs compared to the baseline. Chang also completed internships at the National Network for Safe Communities and TaQadam, where valuable data science skills were honed.
Background in Legal and Policy Work
Hye Chang has a background in legal and policy work, having served as a Paralegal in Case Management Services at the New York County District Attorney's Office from 2014 to 2016. Additionally, Chang worked as a Client Data Associate at Sanctuary for Families from 2016 to 2017, where data management skills were applied in a supportive role.
Education and Expertise
Hye Chang earned a Master of Science in Computational Analysis and Public Policy from the Harris School of Public Policy at the University of Chicago, studying from 2017 to 2019. Prior to that, Chang completed a Bachelor of Science in Foreign Service (CUM LAUDE) at Georgetown University from 2010 to 2014. Chang also attended The Hotchkiss School, completing high school from 2006 to 2010.
Achievements in Data Automation
During the course of Hye Chang's career, significant contributions include automating the delivery of patient lists for outreach, which resulted in a 60% reduction in manual workflow hours. This achievement highlights Chang's ability to enhance operational efficiency through data-driven solutions.