Klint Kanopka
Assistant Professor Of Applied Statistics
New York, New York, United States
Summary
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Senior🎓
Top SchoolKlint Kanopka is an Assistant Professor of Applied Statistics at NYU with nine years of experience bridging education, measurement, and machine learning. Trained at Stanford (PhD in Education and an MS in Computer Science), he combines psychometrics, neural networks, and network methods to advance educational measurement and data-driven policy. His background as a physics teacher and curriculum developer in Philadelphia informs a pragmatic, classroom-aware approach to research—he has rewritten district curricula and built maker spaces that scaled student opportunities. Prior roles at ETS and as a Stanford graduate researcher reflect hands-on work translating complex models into assessment tools and research. Known for integrating rigorous statistical methods with practical educational interventions, he brings both deep technical skill and a practitioner’s sense of what improves learning outcomes.
8 years of coding experience
6 years of employment as a software developer
MS, Instruction, MS, Instruction at Drexel UniversityDoctor of Philosophy - PhD, EDUCATION, Doctor of Philosophy - PhD, EDUCATION at Stanford University
English, python, r
Github Skills (16)
visual-analytics7
visualization6
theory6
testing5
data-analysis5
blockchain5
data-visualization5
data-analytics5
regression-analysis4
ethereum4
regression3
machine-learning2
data-viz2
business-analytics2
python2
Programming languages (4)
Github contributions (5)
klintkanopka/COVID-19
Mar 2020 - Nov 2020
All of my data aggregation and visualization work on COVID-19
Contributions:387 commits, 1 PR, 370 pushes in 7 months
data-analyticsdata-analysisaggregationvisual-analyticsdata-viz
klintkanopka/klintkanopka.github.io-source
Jun 2017 - Jul 2018
Contributions:1 PR, 22 pushes, 3 branches in 1 year 1 month
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