Jeff Chen
Head Of AI at Combient
Stockholm, Stockholm County, Sweden
Summary
👤
Senior🎓
Top SchoolJeff Chen is a Head of AI and computational scientist with 11 years of experience turning math and machine learning into production systems that impact businesses and public institutions. He has led data science organizations across industry and government—from founding FDNY’s data science team and driving ML for national economic measurement at the U.S. Bureau of Economic Analysis to scaling recommender and analytics platforms at Viaplay and optimizing heat-pump performance at Aira. Currently bootstrapping the Combient AI Center while pursuing a DPhil in Computational Statistics at Oxford, he blends rigorous research with product-focused delivery. Jeff is experienced at advising executives on strategy, building cross-functional teams, and shipping models that influence operational and policy decisions. He also has an unusual background in sports photojournalism, reflecting a practiced eye for patterns and storytelling beyond code.
11 years of coding experience
8 years of employment as a software developer
DPhil Computational Statistics, DPhil Computational Statistics at University of OxfordBA Economics (Cum Laude), BA Economics (Cum Laude) at Tufts UniversityM.A. Quantitative Methods in the Social Sciences, M.A. Quantitative Methods in the Social Sciences at Columbia University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (38)
r10
data-manipulation10
r-library10
spatial-data10
unsupervised-learning10
predictive-modeling10
supervised-learning10
data-science9
data-service9
satellite-imagery9
google-charts9
data-analysis9
satellite8
leafletjs8
commerce8
Programming languages (4)
Github contributions (5)
CommerceDataService/DataUsability_Website
Jan 2016 - Sep 2016
A web resource for getting started with US Dept of Commerce data
Contributions:71 commits, 129 PRs, 113 pushes in 8 months
commerce
SigmaMonstR/data-science
Nov 2016 - Apr 2018
Lectures for Introduction to Data Science for Public Policy (PPOL 670-01)
Contributions:122 commits, 1 PR, 107 pushes in 1 year 5 months
data-sciencedata-manipulationspatial-datadata-analysisunsupervised-learning
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