Courses

The following is a list of courses and Instructors for the Summer Institutes to be held in Atlanta from May 29th – June 14th, 2024

There are 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. You may however choose any combination of courses: for example Modules 1, 7 and 10 might provide a great foundation for someone new to epigenetic analysis. Another option is to come back next year and take a second offering from the same session. Once you have decided which courses to take, please move to the Admissions link to initiate the application process. Most students take two or three modules, but you may take one (or four or five, though that is not recommended in one year).

May 29 – May 31, 2024

CoursesInstructors
M1: Probability and StatisticsAnnalise Paaby, Toyya Pujol
M2: Genetics and GenomicsGreg Gibson, Joe Lachance
M3: Introduction to R and PythonPatrick McGrath, Sini Nagpal
M4: Health Disparities Research (NEW)King Jordan, Leo Mariño-Ramirez

June 3 – June 5, 2024

CoursesInstructors
M5: Bayesian StatisticsKen Rice, Steve Qin
M6: Not offered in 2024
M7: Quantitative GeneticsBruce Walsh, Guilherme Rosa
M8: Forensic GeneticsBruce Weir

June 5 – June 7, 2024

CoursesInstructors
M9: Statistical GeneticsBruce Weir, Jérôme Goudet
M10: Epigenetics & Gene Regulation (NEW)Karen Conneely, Jingjing Yang
M11: Mixed Models in Quantitative GeneticsBruce Walsh, Guilherme Rosa
M12: Not offered in 2024

June 10 – June 12, 2024

CoursesInstructors
M13: Multivariate AnalysisJan Graffelman
M14: Gene Expression & Single Cell GenomicsGreg Gibson, Peng Qiu
M15: Advanced Quantitative GeneticsLoic Yengo, Dave Cutler
M16: Population GeneticsDahlia Nielsen, Nadia Singh

June 12 – June 14, 2024

CoursesInstructors
M17: WGS Analysis PipelineLaura Raffield, Matt Conomos
M18: Pathway and Network AnalysisAlison Motsinger-Reif, Ali Shojaie
M19: Association MappingLoic Yengo, Joelle Mbatchou
M20: Molecular Evolution (NEW)Aida Andrés, Joe Lachance

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. As before, a series of 20 modules, each two-and-a-half days long, will be held in five sessions with four streams each according to the schedule below.

For most US resident graduate students, we will provide scholarships covering tuition, board and lodging in campus dormitories and some travel support.  Fees for post-docs, industry scientists and others are also listed under the About tab above, including early-bird offerings for those who register prior to April 15th

Subscribe

Get all BWSISG updates and Early Bird information!

* indicates required