2026 SER Conference

Society for Epidemiologic Research
23–26 June 2026 | Phoenix, AZ

Attending from StataCorp: Chuck Huber, Director, Statistical Outreach

StataCorp will be an exhibitor at the 2026 SER Conference. View downloadable copies of our flyers, and visit the 2026 SER Conference page for more information about the meeting.

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2026 SER Conference

Workshop

Introduction to machine learning and AI using Stata

Instructor: Chuck Huber, Director, Statistical Outreach

In person:

Date: Tuesday, 22 June 2026
Time: 5:30–7:30 p.m. MT

Virtual:

Date: Thursday, 23 July 2026
Time: 10:00 a.m.–1:00 p.m. MT

Fee: $55 to $175

This talk will briefly review the history of machine learning (ML) and artificial intelligence (AI), introduce the concepts and jargon, and demonstrate how to use these tools in Stata.

Specific examples will include Lasso and elasticnet methods, Bayesian methods and MCMC, support vector machines (SVM) using Python integration, random forests and gradient boosting machines using H2O, and the community-contributed commands "chatgpt", "claude", "gemini", and "grok".

Registration

Chuck Huber

Director, Statistical Outreach

Chuck Huber is Director of Statistical Outreach at StataCorp LLC and Adjunct Associate Professor of Biostatistics at the Texas A&M School of Public Health and at the New York University School of Global Public Health. In addition to working with Stata's team of software developers, he produces instructional videos for the Stata YouTube channel, writes blog entries, develops online NetCourses, and gives talks about Stata at conferences and universities. Most of his current work is focused on statistical methods used by behavioral and health scientists. He has published in the areas of neurology, human and animal genetics, alcohol and drug abuse prevention, nutrition, and birth defects. Dr. Huber currently teaches survey sampling at NYU and introductory biostatistics at Texas A&M, where he previously taught categorical data analysis, survey data analysis, and statistical genetics.

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