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, as well as the instructor for DataCamp’s Modeling with Data in the Tidyverse course. 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.
PhD in Statistics, 2011
University of Washington
BSc in Mathematics and Computer Science, 2004
McGill University
Modeling the effect of interspecies competition on tree growth
An Introduction to Statistical and Data Sciences via R
R package of datasets and code published by the data journalism website FiveThirtyEight
R package of data sets from ‘Mathematical Statistics with Resampling in R’ (2011) by Laura Chihara and Tim Hesterberg.
Amherst College
Middlebury College
Reed College
University of Washington
Tue, Feb 12, 2019, Sigma Xi
Mon, Jan 14, 2019, Guest Lecture at Chad Topaz’s Williams College “Introduction to Data Science” Class
Sat, Jan 27, 2018, Data Day Texas 2018
Sat, Sep 23, 2017, StatFest 2017
Thu, Aug 10, 2017, Ecological Society of America 2017 Annual Meeting