About Me

I am a PhD statistician who enjoys programming (particularly with Julia) for difficult optimization and machine learning problems. My niche is the intersection of statistics and computer science, which allows me to quickly translate whiteboard math into efficient programs. During my PhD years I researched on-line algorithms for statistics (single-pass algorithms for streaming and big data), an underused paradigm where statistics/models can be updated on new batches of data without revisiting past observations (see OnlineStats.jl). I am a research scientist, data scientist, machine learning engineer, and software engineer. I contribute to a variety of open source data science tools, some of which can be found here: https://github.com/joshday.

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Things I've Built


Open Source

Closed Source


PhD, Statistics2018NC State University
MS, Statistics2014NC State
BS, Math & Statistics2012Winona State University
BA, Economics & Music2009Winona State University

Work History

Senior Research Scientist at Julia Computing

Oct 2017 - Aug 2019, Oct 2019 - Current

Data Scientist II at Valassis Digital

Aug 2019 - Oct 2019

Data Scientist Intern at MaxPoint

May 2015 - Aug 2015

Statistical Development Tester at SAS-JMP

May 2013 - May 2014, May 2015 - May 2016

Statistics Consultant at Winona State University

Jan 2012 - Aug 2012

CRM Analytics Intern at Best Buy

May 2011 - Sep 2011

Selected Talks and Lectures

Slides and other materials available at https://github.com/joshday/Talks.

Teaching Experience (NC State)