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  • Aaron King Seminar

    Dr. Aaron King, a professor at the University of Michigan, will present the first IBEST/CMCI Seminar of the semester on Thursday, January 24 at 12:30 p.m. in LSS 277. Dr. King is interested in studying evolution and ecology at long temporal and spatial scales using stochastic approaches. He’s done work on disease modeling and method/model/software…

  • Spring 2016 Seminar Series

    A ballooned beta-logistic model with a bioassay application Nancy Flournoy, University of Missouri Monday, January 25, 2016, 12:30 pm Location: Commons Whitewater Room Influenza virus reassortment Dr. Anice Lowen, Emory University School of Medicine Friday, March 25, 2016, 3:30 pm Location: Life Sciences 277 Pediatric rehabilitation: caring for children with disabilities in the state of…

  • Fall 2015 Seminar Series

    Integrated inferences of demography and selection from population genetic data Sohini Ramachandran, Center for Computational Molecular Biology Brown University Tuesday, November 17, 2015, 3:30 pm Location: Life Sciences 277 Dynamical systems with random switching and application to brain biochemistry and insect physiology Sean Lawley, University of Utah Thursday, November 19, 2015, 3:30 pm Location: Life…

  • Spring Seminars Announced

    [robo-gallery id=4674] Save these dates! IMCI and IBEST are pleased to announce our seminar speakers for this spring. The following individuals will be talking on Thursdays in EP 122, 12:30 – 1:20: April 2 – Mike Famulare, Institute for Disease Modeling“Biological challenges on the path to polio eradication—insights from mathematical modeling” April 16 – Rachael…

  • Registration Now Available

    Data Carpentry – Geospatial Analysis Workshop dates: Thursday and Friday, March 26-27, 9 a.m. – 5 p.m. Instructors: Erich Seamon and Travis Seaborn Description: This hands-on workshop will focus on managing and understanding spatial data formats, understanding coordinate reference systems, and working with raster and vector data in R for analysis and visualization. An introductory knowledge to R…