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Dillon Sylte is listed as Researcher at Institute for Health Metrics and Evaluation at Institute for Health Metrics and Evaluation, a company with 420 employees, based in Seattle, Washington, United States. AeroLeads shows a work email signal at healthdata.org and a matched LinkedIn profile for Dillon Sylte.
Dillon Sylte previously worked as Researcher at Institute For Health Metrics And Evaluation and Data Specialist at Institute For Health Metrics And Evaluation. Dillon Sylte holds Bachelor'S Degree, Mathematics from University Of Washington.
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I'm a researcher at Institute for Health Metrics and Evaluation on the US Health Disparities team working on producing life expectancy estimates at the county level by educational attainment. Prior to this I worked on clinical informatics where I built a data processing (ETL) pipeline that compiled and processed what is likely to be the world's largest collection of hospital records into prevalence and incidence estimates for hundreds of diseases and injuries. I've also spent a year working on data processing and modeling for global mortality estimation.I graduated from the University of Washington with a B.A. in Mathematics and a minor in Applied Mathematics. I’m interested in working with data and information for public benefit.To see all publications I contribute to see: https://www.ncbi.nlm.nih.gov/pubmed/?term=dillon+sylte
Listed skills include Python, Numpy, Mathematics, Matlab, and 29 others.
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Drafted an original manuscript estimating life expectancy by educational attainment at the US county-level. Presented to IHME leadership and researchers to share methods and findings and solicit feedback.Co-authored a paper estimating life expectancy by race/ethnicity at the US county-level.Tested dozens of small area estimation statistical model.
Greater Seattle Area
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Channa Buxbaum
Colleague at Institute For Health Metrics And Evaluation
Philadelphia, Pennsylvania, United States, United States
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Haaris Saqib
Colleague at Institute For Health Metrics And Evaluation
United States, United States
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Prof. Maheswar Satpathy
Colleague at Institute For Health Metrics And Evaluation
New Delhi, Delhi, India, India
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Ian Pollock
Colleague at Institute For Health Metrics And Evaluation
Seattle, Washington, United States, United States
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Taylor Sullivan Noyes
Colleague at Institute For Health Metrics And Evaluation
United States, United States
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Marcon Louie Fikingas
Colleague at Institute For Health Metrics And Evaluation
Seattle, Washington, United States, United States
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Faith (Kim) Yuh
Colleague at Institute For Health Metrics And Evaluation
Greater Boston, United States
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Fatemeh Esfahanian
Colleague at Institute For Health Metrics And Evaluation
Tehran, Tehran Province, Iran, Iran, Islamic Republic Of
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Nick Graetz
Colleague at Institute For Health Metrics And Evaluation
Philadelphia, Pennsylvania, United States, United States
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William Gustafson
Colleague at Institute For Health Metrics And Evaluation
Seattle, Washington, United States, United States
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Activities and Societies: Theta Chi Fraternity
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Dillon Sylte works for Institute for Health Metrics and Evaluation.
Dillon Sylte is listed as Researcher at Institute for Health Metrics and Evaluation at Institute for Health Metrics and Evaluation.
AeroLeads has found 1 work email signal at @healthdata.org for Dillon Sylte at Institute for Health Metrics and Evaluation.
Dillon Sylte is based in Seattle, Washington, United States while working with Institute for Health Metrics and Evaluation.
Dillon Sylte has worked for Institute For Health Metrics And Evaluation and Moore Hotel.
Dillon Sylte's colleagues at Institute for Health Metrics and Evaluation include Channa Buxbaum, Haaris Saqib, Prof. Maheswar Satpathy, Ian Pollock, and Taylor Sullivan Noyes.
You can use AeroLeads to view verified contact signals for Dillon Sylte at Institute for Health Metrics and Evaluation, including work email, phone, and LinkedIn data when available.
Dillon Sylte holds Bachelor'S Degree, Mathematics from University Of Washington.
Dillon Sylte is listed with skills including Python, Numpy, Mathematics, Matlab, Statistics, Scipy, Matplotlib, and Scikit Learn.
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