Daniel Carrión
Assistant Professor Of Environmental Health Sciences at Yale School of Public Health
New York, New York, United States
Summary
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Senior🎓
Top SchoolDaniel Carrión is an environmental health scientist and assistant professor at Yale School of Public Health with a decade of experience studying climate change, household energy, and health equity across the US, Puerto Rico, and Ghana. He leads community-engaged field studies and large-scale exposure and epidemiologic secondary analyses funded by NIEHS, NICHD, and NASA, and has published in high-impact journals including Nature Communications and Environmental Health Perspectives. Trained at Columbia (PhD) and New York Medical College (MPH), he bridges rigorous exposure science with policy-relevant solutions to reduce health disparities and climate impacts. Beyond research, he has designed and led education programs for undergraduates, graduate students, incarcerated learners, and working professionals—illustrating a commitment to workforce development and inclusive capacity building.
10 years of coding experience
5 years of employment as a software developer
Master of Public Health (M.P.H.), Environmental Health Science, Master of Public Health (M.P.H.), Environmental Health Science at New York Medical CollegeDoctor of Philosophy (Ph.D.), Environmental Health Science: Climate & Health, Doctor of Philosophy (Ph.D.), Environmental Health Science: Climate & Health at Columbia University in the City of New YorkBachelor of Arts (B.A.), Environmental Studies, Bachelor of Arts (B.A.), Environmental Studies at Ithaca College
Spanish
Github Skills (6)
temperature5
targets5
reproducible-research5
simulation5
crossover4
r4
Programming languages (1)
Github contributions (5)
dcarrion22/CitiBike_Distances
Jun 2017 - May 2020
Contributions:1 push, 1 branch in 3 years
justlab/casecrossover_preterm_simulation
Feb 2021 - Jul 2022
A reproducible simulation of case-crossover analyses of temperature and preterm birth
Contributions:7 pushes, 1 comment in 1 year 4 months
analysesbirthsimulationreproducibleepidemiology
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