Ian Fellows

Statistician President

San Diego, California, United States
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Summary

👤
Senior
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Top School
Ian Fellows is a statistician and data scientist with 15+ years of experience translating mathematical statistics into production-ready analytics and scalable algorithms. He holds a PhD in Statistics from UCLA and has authored 24 papers spanning AI, social network modeling, and disease applications, while his Texas Hold’em AI ranked second globally in 2007–08. As founder and President of Fellows Statistics and former Chief Scientist at OspreyData, he builds teams and systems for near real-time analytics on streaming sensor and big data platforms using R, Python, Spark and Hadoop. Ian is the primary author of the award-winning open-source Deducer R GUI, reflecting a rare combination of statistical rigor, usable visualization design, and software engineering. He routinely bridges academia and industry—applying exponential-family network models to public-health problems and deploying scalable pipelines for clients across education, marketing, and industrial IoT.
code15 years of coding experience
job6 years of employment as a software developer
bookBachelor of Arts (B.A.), Mathematics and Philosophy, Bachelor of Arts (B.A.), Mathematics and Philosophy at University of Redlands
bookSan Diego State University
bookUniversity of California, Los Angeles
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Stackoverflow

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17,268reputation
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Github Skills (110)

r10
statistics10
shiny10
rstudio10
reactive9
ggplot9
web-development9
label9
dataframe9
rshiny9
r-package9
classification9
error-handling9
sorting9
message-passing8

Programming languages (6)

JavaC++RJavaScriptHTMLPython

Github contributions (5)

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fellstat/ernm

Oct 2015 - Mar 2018

Estimation of fully/partially observed Exponential-Family Random Network Models (ERNM). ERNMs are a generalization of ERGM (see the ergm package) and Gibbs Fields, encompassing both as special cases
Contributions:23 reviews, 20 commits, 3 PRs in 2 years 5 months
cran/wordcloud

Jun 2011 - Aug 2018

Contributions:8 commits in 7 years 3 months
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