Chris Snider, MPH
Chris Snider is a data scientist at the Acceleration Lab. In this role, Chris combines and analyzes data across multiple sources to support exploratory analyses, project evaluation, and decision-making. He also applies machine learning and statistical techniques to develop and test predictive models.
Chris holds a master's degree in public health with a concentration in epidemiology from Drexel University and a graduate certificate in biomedical informatics from the University of Pennsylvania. He received his bachelor's degree in biology from the University of Michigan.
Chris is currently pursuing an additional master's degree in engineering in data science at the University of Pennsylvania. He is passionate about making data more accessible and interpretable to his team and partners across Penn Medicine.
Reducing health inequities, telemedicine, causal inference, statistics, data science
Favorite travel destination
I could teach you how to
Bake kolaches (Czech pastries)
Favorite downtime activity
Spending time on the water
Effect of Goal-Setting Approaches Within a Gamification Intervention to Increase Physical Activity Among Economically Disadvantaged Adults at Elevated Risk for Major Adverse Cardiovascular Events
Behavioral interventions to improve population health outreach for hepatitis C screening: randomized clinical trial
How Penn Medicine Reimagined Breast Reconstruction, Shifting the Balance of Postoperative Care from Clinic to Home
Using design and innovation principles to reduce avoidable emergency department visits among employees of a large academic medical center
Patient Characteristics Associated With Telemedicine Access for Primary and Specialty Ambulatory Care During the COVID-19 Pandemic
Prospective Implementation of a Consultative Store-and-Forward Teledermatology Model at a Single Urban Academic Health System with Real Cost Data Subanalysis
Effect of Passive Choice and Active Choice Interventions in the Electronic Health Record to Cardiologists on Statin Prescribing