Shannon E. Ellis

Assistant Teaching Professor in the Cognitive Science department at UCSD. For the 2018-2019 academic year, I’ll be teaching COGS 9. Introduction to Data Science, COGS 108. Data Science in Practice, and COGS 18. Introduction to Python.


I was a postdoctoral fellow in the biostatistics department at the Johns Hopkins Bloomberg School of Public Health, where I was fortunate to work with all the wonderful people in Jeff Leek’s group.

During my postdoc, I worked to develop the content for the Chromebook Data Science (CBDS), a set of free, online courses to teach the basics of data science to individuls with no background in computing. The twelve course Course Set is available from Leanpub. To supplement CBDS, I also helped to develop and implement CBDS+, an in-person tutoring and job placement program for historically underserved populations in Baltimore City.

I also worked with the data in recount to build predictors capable of accurately predicting critical phenotype information from gene expression, These predictions have been used to improve analyses and better understand expression in humans.

Grad School

I received my Ph.D. in human genetics from the Institute of Genetic Medicine at the Johns Hopkins University School of Medicine. In Dan Arking’s lab I focused on improving our understanding of autism. To do this, I used post-mortem cortical brain samples from autism cases and controls to study alterations in gene expression and methylation.

My Interests

I love analyzing data carefully and teaching others how to do the same! I’m always down to talk about teaching, data science, all things R, pedagogy, and genetics.

When I’m not busy analyzing data, cursing myself for a bug in my code, or teaching others how to do the same, I am always down to chat about beach volleyball, baking, biking, and great podcasts.

Fore more information, my full CV can be found here.

Shannon Ellis' Github chart