Daniel Kopp
Researcher at CHALEARN
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolDaniel Kopp is a research-focused software engineer and ML fairness researcher based in the New York City area. He is currently a research contractor at ChaLearn, exploring how categorical variable encodings influence bias and challenging conventional ML textbooks with counterintuitive findings about learnability and bias. Previously, as a Research Assistant at Rensselaer Polytechnic Institute, he built synthetic data pipelines for EHRs, established a causal fairness framework, and engineered bias benchmarks from MIMIC-IV to study preprocessing impacts on inequity. His industry experience includes AWS software engineer internships where he contributed to the core functionality of supply chain graphs and open-source simulation tools, complemented by an earlier SRI internship. With a BS in Computer Science from RPI, he blends rigorous research with hands-on software engineering, and is actively translating theory into practical bias-sensitive ML tooling. Based in the NYC metro area, he also has a track record of mentorship from coding instructor roles, underscoring communication and collaboration skills.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Rensselaer Polytechnic Institute
English, French
Github Skills (8)
python8
discounts4
bit4
680003
apple23
sega-genesis3
architecture2
computer-architecture2
Programming languages (5)
Github contributions (5)
danielkopp4/JavaFinalProject
Jun 2018 - Sep 2020
Contributions:4 PRs, 24 pushes, 1 branch in 2 years 4 months
danielkopp4/HumanPoseUnitySim
Aug 2019 - Sep 2020
Contributions:9 commits in 1 year 1 month
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