The following is a provisional list of courses and instructors for the Summer Institutes to be held in Atlanta from May 27th – June 12th, 2026. Please check back in January for the final program.
There will be four streams, generally with an offering in each of the five half-week sessions. The streams are merely guides, though they do reflect to some degree historical patterns of which courses students take successively. Most students take two or three modules, but you may take one (or four or five, though that is not recommended in one year). Only nominate one course for each time block, we will let you know if it is no longer available. Please note that most modules will be in-person only, but some may be offered virtually if enrolment is less than 10.
May 27 – May 29, 2026
Courses
Instructors
INT1: Genetics and Genomics
Greg Gibson, Joanne Cole
INT2: Introduction to R and Python
Patrick McGrath, Sini Nagpal
June 1 – June 3, 2026
Courses
Instructors
HE1: Health Disparities Research
King Jordan, Leo Mariño-Ramirez
IG1: Microbiome and Metabolomics
Ran Blekhman, Youssef Idaghdour
QG1: Quantitative Genetics
Bruce Walsh, Guilherme Rosa
ST1: Forensic Genetics
Sanne Albers, Mike Coble, Bruce Weir
June 3 – June 5, 2026
Courses
Instructors
HE2: Statistical Genetics
Bruce Weir, Sean Anderson
IG2: Epigenetics & Gene Regulation
Karen Conneely, Jingjing Yang
QG2: Mixed Models in Quantitative Genetics
Bruce Walsh, Guilherme Rosa
ST2: Bayesian Statistics
Ken Rice, Steve Qin
June 8 – June 10, 2026
Courses
Instructors
HE3: Artificial Intelligence/ML for Genetics
Sudhir Kumar, Mindy Shi
IG3: Gene Expression & Single Cell Genomics
Peng Qiu, TBN
QG3: Association Mapping
Joelle Mbatchou, Moeen Riaz
ST3: Regression and Regularization
Ian Dworkin, TBN
June 10 – June 12, 2026
Courses
Instructors
HE4: Molecular Evolution
Joe Lachance, Aida Andrés
IG4: Pathway and Network Analysis
Alison Motsinger-Reif, Greg Gibson
QG4: Whole Genome Sequence Analysis
Laura Raffield, Matt Conomos
ST4: MCMC for Genetics
Matthew Stephens, Eric Anderson
The Summer Institute in Statistical Genetics (SISG) has introduced 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 such as racial and ethnic minority groups, low income, first generation college students, veterans, individuals with disabilities, and LGBTQ groups. Each of the 20 Modules is two-and-a-half days long, and will be held in five sessions with four streams each according to the schedule above.
