The Georgia Institute of Technology is proud to host the 30th Summer Institute in Statistical Genetics at our Midtown Atlanta campus in 2025. There will be 18 modules offered over a 3-week period, including new offerings in Artificial Intelligence for Geneticists, and Microbiome and Metabolome Analysis, as well as the return of advanced statistical modules dealing with Regression and Regularization, and MCMC Methods.
SISG 2025 will be held May 28th – June 13th, 2025, starting the Wednesday after Memorial Day. The Fee schedule for most participants is on the About page. We invite applications for up to 40 Graduate Student Fellowships funded by our corporate partner, the Regeneron Genetics Center, and the National Science Foundation. Please see the Applications page for details of the process for submission by the March 10 deadline. Please note that all modules are in-person only! There will be no virtual option available this year.
Information about Atlanta and weekend offerings is also provided on the About tab. Anyone wishing to attend is 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.
2025 SISG Streams
(In-person modules only)
| Health and Evolution | Integrative Genomics | Quantitative Genetics | Statistics | |
| Wed May 28 – Fri May 30 |
INT1: Genetics and Genomics Greg Gibson Joanne Cole |
INT2: Programming in R and Python Patrick McGrath Sini Nagpal |
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Mon June 2 – Wed June 4 |
HE1: Health Disparities Research King Jordan Leo Mariño-Ramirez |
IG1: Microbiome and Metabolomics Ran Blekhman Youssef Idaghdour |
QG1: Quantitative Genetics Bruce Walsh Guilherme Rosa |
S1: Forensic Genetics Sanne Aalbers, Mike Coble, Bruce Weir |
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Wed June 4 – Fri June 6 |
HE2: Statistical Genetics Bruce Weir Jérôme Goudet |
IG2: Epigenetics & Gene Regulation Karen Conneely Jingjing Yang |
QG2: Mixed Models for Genetic Analysis Bruce Walsh Guilherme Rosa |
S2: Bayesian Statistics
Ken Rice Steve Qin |
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Mon June 9 – Wed June 11 |
HE3: Artificial Intelligence/Machine Learning Sudhir Kumar Mindy Shi |
IG3: Gene Expression & Single Cell Genomics Greg Gibson Peng Qiu |
QG3: Association Mapping Joelle Mbatchou TBN |
S3: Regression and Regularization Ian Dworkin |
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Wed June 11 – Fri June 13 |
HE4: Molecular Evolution Joe Lachance Raquel Assis |
IG4: Pathways and Networks Alison Motsinger-Reif Ali Shojae |
QG4: Whole Genome Sequence Analysis Laura Raffield Matt Conomos |
S4: MCMC for Genetics Matthew Stephens Eric Anderson |
