Justin Payan
Postdoctoral Research Associate
Amherst, Massachusetts, United States
Summary
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Senior🎓
Top SchoolJustin Payan is a Postdoctoral Research Associate at Carnegie Mellon University who applies data science and market design to improve peer review and other socially impactful systems. With a PhD from UMass Amherst and a decade of experience spanning research internships at Amazon, Microsoft, and Adobe, he blends rigorous theoretical work with hands-on machine learning and system-building. His background includes practical industry engineering at Vertica and contributions to projects in document understanding, continual learning, and NER data augmentation. Comfortable moving between C++ production code and deep learning research, he brings a rare mix of applied engineering, academic depth, and experience releasing datasets and reproducible experiments. Notably, his work often explores how algorithmic design choices interact with real-world distribution shifts and privacy constraints.
10 years of coding experience
1 year of employment as a software developer
Visiting Student, Visiting Student at The University of EdinburghUniversity of GeorgiaDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Massachusetts AmherstHigh School, High School at Woodward Academy
English, Chinese, Spanish, Portuguese
Stackoverflow
11reputation
5kreached
2answers
0questions
Github Skills (15)
vertica7
matching7
isomorphism6
networkx6
subgraph6
greedy6
python6
modeling5
machine-learning4
deep-learning4
justin4
tensorflow4
round-robin3
data-science3
reviewer3
Programming languages (2)
Github contributions (5)
justinpayan/RAU
Jan 2023 - Apr 2024
Collecting exactly the bids required for a fair and efficient allocation.
Contributions:2 PRs, 155 pushes, 1 branch in 1 year 2 months
justinpayan/justinpayan.github.io
Jan 2021 - Jan 2025
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:71 pushes in 4 years
templategithub-pages-templatemmistakesmistakesjekyll
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