As part of our mission to strengthen data science and analytical literacy in the next generation of public health leaders, DSDE hosts a variety of educational events, including our Coffee, Cookies, and Coding (C-cubed) workshops.
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About Us
Public Health Data Science and Data Equity (DSDE) aims to strategically support and elevate data science training, education, research and collaboration efforts at the Yale School of Public Health (YSPH) and promote data equity as a fundamental pillar of health equity.
We aim to:
- Elevate and transform public health research via cutting-edge data science discoveries and impactful implementation, with a focus on developing a novel framework of data equity and positive social change.
- Empower and enable the next generation of public health leaders with an essential mastery of core data science and artificial intelligence (AI) techniques.
Our Vision
We strive to make data science knowledge, tools, and resources available to communities near and far, promoting equitable scientific discoveries, policy decisions, public health practice, and healthcare.
Our Mission
Our mission is to reduce the barriers in utilization of data science and AI in public health training, research, and practice. We plan on achieving this by: enhancing education, leading responsible innovation, building infrastructure, creating a community, forming data science alliances, and promoting open knowledge locally and globally.
Other Things We Do
Building upon our core missions, DSDE is deeply committed to a spectrum of activities designed to foster innovation, collaboration, and leadership in the field of public health and epidemiology. Our efforts include a broad range of resources, events, and services that collectively contribute to the advancement of equitous, trustworthy, and impactful research in public health.
Each resource is designed to empower YSPH students, staff, and faculty to excel in public health data science. Whenever possible, we democratize our resources to ensure that public health professionals and researchers globally can benefit from and contribute to our collective mission of advancing public health data science and promoting data equity.
Educational Materials and Events
Services
We directly support Yale researchers through consulting and contracting. We offer an array of services, including statistical analysis, data visualization, implementation of AI/ML, R package development, dashboarding, and custom workshops/tutorials.
Other Resources
In addition to the Resource Navigation Tool, DSDE has curated and consolidated software developed by faculty and students at the school of public health and hosts various events geared towards accelerating impactful data-driven discoveries.
People
DSDE is a collaborative community driving the future of equitable public health at Yale. Below are some of the people on the team who contributed to the Resource Navigation Tool. You can find out more about the whole team on our main YSPH webpage.
Bhramar Mukherjee, PhD
Senior Associate Dean of Public Health Data Science and Data Equity; Anna M.R. Lauder Professor of Biostatistics; Professor of Epidemiology (Chronic Diseases) and of Statistics and Data Science; Affiliated Faculty, Yale Institute for Global Health
Professor Bhramar Mukherjee is the Anna M.R. Lauder Professor of Biostatistics and Professor of Chronic Disease Epidemiology at the Yale School of Public Health (YSPH). Professor Mukherjee serves as the inaugural Senior Associate Dean of Public Health Data Science and Data Equity at YSPH. She holds a secondary appointment in the Department of Statistics and Data Science and is affiliated with the MacMillan Center and the Institute for the Foundations of Data Science. She serves on the Yale Cancer Center Director’s cabinet.
Michaela Dinan, PhD
Associate Professor Tenure; Co-Leader, Cancer Prevention and Control, Yale Cancer Center; Associate Director for Research Training and Education, Yale Cancer Center
Dr. Michaela Dinan is an Associate Professor of Epidemiology in the Yale School of Public Health, and Co-Leader of the Cancer Prevention and Control Research Program at the Yale Comprehensive Cancer Center, Yale School of Medicine. She is also a member of the Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center. Dr. Dinan has extensive research expertise in leveraging existing real-world data sources as well as novel data linkages to examine oncology outcomes.
Shelby Golden, M.S.
Data Scientist I
Shelby Golden is a data scientist with a background in computational mathematics, molecular biology, and biochemistry. She holds a Master of Science in Applied Computational Mathematics from Johns Hopkins University and dual Bachelor of Science degrees in Molecular, Cellular, Developmental Biology and Biochemistry with a minor in Engineering in Applied Mathematics.
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