The Summer Institute for Statistics in Big Data (SISBID) is designed to introduce biologists, quantitative scientists, and statisticians to modern statistical techniques for the analysis of biological big data. Ali Shojaie serves as the Director of SISBID.
2022 Dates & Format TBD
Each module focuses on a different aspect of Big Data such as organizing and processing data for statistical analysis, visualizing data, or the challenges surrounding reproducible research.
Enroll in multiple modules to create an experience that best suits your interests.
Instructors are world-class faculty with expertise in all aspects of biological Big Data.
Participants receive a certificate of completion for each module.
One of the goals of SISBID is to strengthen the statistical and data science proficiency 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, and differently abled and 2SLGBTQ groups.
2021 Registration Rates
|Group||Early-Bird Fee per Module (Through June 18)||Regular Fee per Module (After June 18)||Payment with UW Budget Number|
|Academic, Government, Non-Profit||
|Corporate, For-Profit Organizations||
- "This has been a transformative experience for me. Over the course of a few days, machine learning went from a fuzzy concept to something that I've already started applying to my own work in pediatric cancer and immunotherapy."
- "The expert faculty did a wonderful job of presenting challenging and complex material with tools (such as R markdown) that allowed students of all different levels to learn and gain exposure to a rich set of tools and concepts."
- "I gained skills that I can directly apply to my research. The labs and code were super helpful, and will aid me in my research projects."