Sean Perez

Job title: 
Data Science Fellow
Department: 
Environmental Science, Policy, and Management
Bio/CV: 

Sean is a Ph.D. candidate in Environmental Science, Policy and Management (ESPM). His thesis is centered around the chemical and genetic components that underly chemical defense in arthropods. To answer these questions, he uses a variety of methods from Gas Chromatography-Mass Spectrometry to RNAseq differential expression analysis. To this end, he programs in R, Python, and bash.

Sean is also an aspiring data-science who draws inspiration from Hadley Wickham and Wes McKinney, the creators of the tidyverse and pandas respectively, and tries to follow their tenants of creating reproducible workflows as well as creating tidy data.

In his off-time, Sean loves to go climbing and do side data science projects outside his major discipline (perhaps not surprisingly analyzing climbing data).

Research interests: 

Bioinformatics, Genetics, Data Science; Databases & SQL, Data Science, Data Sources, Data Visualization, Mixed Methods, Python Programming, R Programming, Software Tools, Web Scraping

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