SISG 2026 will be held May 27th – June 12th, 2026, starting the Wednesday after Memorial Day. We are very pleased to announce a new round of funding for Graduate Student Fellowships from the National Science Foundation through 2030, and also remain extremely grateful to our corporate partner, the Regeneron Genetics Center, for their continuing support of SISG.  Please note that most modules will be in-person only! Some modules with lower enrolment may be held virtually, but we do not offer Hybrid teaching.

Please visit the Courses link for a provisional list of Courses for 2026

The Georgia Institute of Technology thanks all of the participants at the 30th Edition of the Summer Institute in Statistical Genetics which was held on our Midtown Atlanta campus in June 2025. Across all Modules, students gave 9 out of 10 ratings for SISG meeting expectations, preparing for research, and recommending to piers!

Information about Atlanta and weekend offerings is also provided on the About tab. Starting in January 2026, anyone wishing to attend will be invited to follow three simple steps: choose your preferred classes, (ii) apply for admission, and (iii) register after acceptance. 

The Bruce Weir Summer Institute in Statistical Genetics (SISG) introduces geneticists to modern methods of statistical analysis and statisticians to the challenges posed by modern genetic data. The goal of SISG is to strengthen the statistical and genetic proficiency and career preparation of scholars from all backgrounds, especially those from groups historically underrepresented in STEM including low-income, first-generation college students, veterans, individuals with disabilities. 

2026 SISG Streams

Introductory Modules: INT1 Genetics and Genomics, INT2 R and Python

Health and Environment: HE2 StatGen, HE3 AI/ML, HE4 Molecular Evolution

Integrative Genomics: IG1 Metabolomics/Microbiome, IG2 Epigenetics and Gene Regulation, IG3 Single Cell Genomics, IG4 Pathways and Networks

Quantitative Genetics: QG1 QuantGen, QG2 Mixed Models, QG3 Association Mapping, QG4 WGS Pipeline

Statistics: ST1 Forensics, ST2 Bayesian Statistics, ST3 Regression & Regularization

Please note that HE4 (Molecular Evolution), IG1 (Metabolomics and Microbiome), ST1 (Forensic Genetics), and ST3 (Regression and Regularization) will be offered in 2026.