Christopher Riederer
Staff Applied Scientist at Uber
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolChristopher Riederer is a Staff Applied Scientist in the Bay Area with 14 years of experience applying machine learning, data engineering, and applied research to product and social-impact problems. He built foundational data infrastructure and the first ad recommendation system at Propel, productionized ML features at Cash App that reduced fraud and costly support cases, and now contributes at scale at Uber. His Ph.D. from Columbia focused on privacy, de-anonymization, and fairness in location and advertising data, producing widely cited work that informs his pragmatic, ethics-aware approach to modeling. Comfortable spanning research and production, he’s as likely to design constrained optimization for fair ML as to ship Snowflake+dbt pipelines and mentor growing data teams. An under-the-radar strength is marrying deep technical rigor with a track record of measurable business and user impact for underserved populations.
14 years of coding experience
10 years of employment as a software developer
BS Computer Science, BS Computer Science at Yale UniversityPh.D. Computer Science, Ph.D. Computer Science at Columbia EngineeringRochester Lourdes High School
Stackoverflow
146reputation
14kreached
1answer
0questions
Github Skills (45)
dplyr10
lda9
fasttext9
corpus9
h39
geography9
geo9
python8
gis8
pandas8
geojson8
json8
ggplot8
geometry8
data-science7
Programming languages (5)
Github contributions (5)
danrobinson/taggernews
May 2017 - May 2017
Hacker News plus topic tags. TechCrunch Disrupt NY Hackathon 2017
Contributions:4 commits, 1 PR, 1 push in 1 day
newsplusdisrupttagstechcrunch
dodger487/analyze_hn
May 2017 - May 2017
Analyze Hacker News! Get some topics!
Contributions:15 commits, 7 pushes, 1 branch in 3 days
pythonldacorpusfasttextnews
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