Silvia Canelón
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Silvia Canelón

Data Scientist & Journalist

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I work as a data scientist at the Urban Health Lab at the University of Pennsylvania. My research interests include applications of biomedical and spatial data science in the public and population health fields.

My current projects use electronic health record (EHR) and geospatial data to explore how the neighborhood environment and access to urban nature can impact the health of individuals in Philadelphia. Learn more about my research interests in publications.

Get in touch by sending me a note!

About me

Biomedical engineer turned informaticist, curious about all intersections of data and society.

I enjoy using R to optimize my data science workflow and have noticed it making guest appearances elsewhere in my life. I’m certified as an RStudio Tidyverse Instructor and am passionate about R education and data literacy as ways to build power in communities. Keep up with my R tinkering in my blog and presentations in talks.

  • Tidyverse Instructor Certification ∙ RStudio, PBC ∙ 2020

Prior to joining the Urban Health Lab, I developed novel data mining methods to extract meaningful information from the EHR and study health outcomes and disparities in pregnant populations. I’m particularly interested in research that combines biomedical data science with open data sources in ways that prioritize health equity in communities.

  • Certificate in Biomedical Informatics ∙ University of Pennsylvania ∙ 2019
  • Ph.D. in Biomedical Engineering ∙ Purdue University ∙ 2018
  • B.S. in Biomedical Engineering ∙ University of Minnesota ∙ 2012

Lately …

Projects

New Kensington ‘fast-track court’ lands most with warrants, back into the cycle of addiction and homelessness
Photo by Solmaira Valerio
Kensington Voice
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Talks

Improving Accessibility In Your Work
rOpenSci social coworking and office hours about accessibility
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Blog

Exploring causality in 311 calls

Using causal inference methodology to explore the relationship between X and Y.

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Publications

Risk of Mortality Among Adult Females Diagnosed with Traumatic Brain Injury in an Academic Medical System
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