Albert Kim
Associate Professor Of Statistical & Data Sciences
Amherst, Massachusetts, United States
Summary
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Senior🎓
Top SchoolAlbert Kim is an Associate Professor of Statistical & Data Sciences at Smith College with 13 years of experience bridging academic research and applied analytics. He earned a PhD in Statistics from the University of Washington after a joint Mathematics and Computer Science BSc from McGill, and his research spans statistical inference, machine learning, and experimental design. Before academia he honed large-scale measurement and quality-assurance skills as a decision support analyst in Google’s Ads Metrics team, experience that informs his data-driven approach to teaching and research. He has a steady publication and conference record and contributes to open-source education resources, including maintenance work on the widely used ModernDive book documentation. Known for clear pedagogy and pragmatic modeling, he excels at translating complex statistical ideas into reproducible R/Tidyverse workflows for students and collaborators. Based in Amherst, MA, he combines liberal-arts teaching experience with industry rigor to advance statistical practice and training.
12 years of coding experience
11 years of employment as a software developer
PhD, Statistics, PhD, Statistics at University of WashingtonBSc, Joint Honours Mathematics and Computer Science, Minor Concentration in Management, BSc, Joint Honours Mathematics and Computer Science, Minor Concentration in Management at McGill University
French, Korean
Stackoverflow
101reputation
2kreached
1answer
0questions
Github Skills (7)
documentation9
html8
r7
git6
macos6
github6
rstudio6
Programming languages (8)
Github contributions (5)
moderndive/ModernDive_book
Jan 2017 - Dec 2022
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 releases, 26 reviews, 1293 commits in 6 years
Contributions summary:Albert's contributions primarily involved minor testing and code changes within the documentation, specifically modifying HTML files (docs/C-appendixC.html). The edits appear to focus on layout improvements, and possibly bug fixes or general upkeep of the documentation for the project. The code changes indicate the user is familiar with the tools and build process for generating the project's documentation.
bootstrap-methodinferregression-modelspermutation-testtidyverse
rudeboybert/JSM2018_ecosystem
Aug 2017 - Jul 2018
JSM 2018 "An Emerging Ecosystem for Data Science/Statistics Education"
Contributions:33 commits, 1 PR, 15 pushes in 1 year
statisticsecosystemsciencedata-science
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