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Working Groups


In addition to our weekly Department Seminar, we also have several working groups that meet monthly to discuss specific biostatistical methods or problems. The goal of the working groups is to bring together faculty, research staff and students to discuss these specific topics in a more focused environment. Working group presentations may be journal clubs, work-in-progress updates, or opportunities for students to practice their conference presentations.​

Statistical Genomics Working Group 

Statistical Genomics Working Group

This working group provides a forum for those interested in statistical methods in genomics to learn from each other, share ideas, and foster statistical methods development.  The group meets the first Thursday of every month at 12:00-1:00 pm -- lunch provided!  Location alternates between the Anschutz Medical Campus and National Jewish Health.  The group will host journal clubs, work-in-progress presentations, and formal seminars.  The organizer is Rachel Blumhagen.


Imaging Analysis Working Group

This a multi-disciplinary working group collaborating to understand multiple types of imaging data, data processing algorithms, and new data analysis approaches for imaging data. The group meets the third Thursday of each month at 10:30-11:30 am.  From November to April , we will review data sources, and from May to October we will review pre-processing and data analysis work.  The organizer is Sarah Ryan.


Machine Learning

The Machine Learning Reading Group brings together everyone interested in the theory and applications of machine learning. We focus on new and state of the art research and aim. Some discussions are purely explanatory and others aim to find a working example of the method/theory in question relevant to our fields. Anyone can nominate a paper or their own research and lead a discussion around it. There are no restrictions on the discussion topic, as long as it is machine learning related.  The organizer is Efren Cruz Cortes.


Network Analysis Working Group

A platform for people interested in learning (more) about statistical methods for biological networks. We meet biweekly to discuss the fundamentals and advances of the field. It is also designed for participants to share their own network project progress. The organizers are Janet Siebert and Tiffany Callahan.

Colorado School of Public Health

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Mail Stop B119
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