Biography

Albert Y. Kim is Assistant Professor of Statistical & Data Sciences at Smith College in Northampton MA. He is a co-author of the fivethirtyeight R package and ModernDive an online textbook for introductory data science and statistics. His research interests include spatial epidemiology and model assessment and selection methods for forest ecology. Previously he worked on the Search Ads Metrics Team at Google as well as at Reed, Middlebury, and Amherst Colleges.

• The fivethirtyeight R Package: 'Tame Data' Principles for Introductory Statistics and Data Science Courses

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• Causal Teamwork: Regression and Matching as Supplements in the Estimation of Causal Effects

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• A Bayesian Method for Cluster Detection with Application to Brain and Breast Cancer in Puget Sound

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• OkCupid Data for Introductory Statistics and Data Science Courses

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• A Bayesian model for cluster detection

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Amherst College

• STAT/MATH 135 - Introduction to Statistics via Modeling: Fall 2017
• STAT/MATH 495 - Advanced Data Analysis: Fall 2017

Middlebury College

• MATH 116 - Introduction to Statistical and Data Sciences: Spring 2017, Fall 2016
• MATH 116 - Introduction to Statistical Science: Fall 2015
• MATH 216 - Introduction to Data Science: Fall 2016, Spring 2016
• MATH 218 - Statistical/Machine Learning: Spring 2017
• MATH 311 - Theory of Statistics: Spring 2016

Reed College

• MATH 141 - Introduction to Probability and Statistics: Spring 2015, Fall 2014, Spring 2014, Fall 2013
• MATH 241 - Introduction to Data Science: Spring 2015
• MATH 391 - Probability: Fall 2014, Fall 2013
• MATH 392 - Mathematical Statistics: Spring 2014

University of Washington

• STAT/MATH 390 - Probability and Statistics in Engineering and Science: Summer 2010

• Fusing disparate measurement data for forecasting the growth of trees via Hidden Markov Models

  Wed, Sep 30, 2020, UMass Amherst Statistics and Probability Seminar

• Statistical Modeling for Forest Ecology

  Wed, Sep 30, 2020, Environmental Science & Policy Lunchbag

• Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

  Tue, May 19, 2020, UBC Department of Statistics Seminar

• Statistical inference via data science: A 'tidy' approach

  Sat, Jan 18, 2020, Joint Math Meetings 2020: Modernizing the Introductory Statistics Course

• The Myth of the Importance of Knowing All Your Goals Now!

  Sun, Jun 30, 2019, Summer Sunday SURF Dinner Talk

• albert.ys.kim@gmail.com
• @rudeboybert on Keybase.
• Office: McConnell Hall 215, Smith College, 2 Tyler Drive, Northampton MA, 01063-6316