Colorado State University

Ander Wilson has been awarded a 5-year R01 grant from the National Institutes of Health “Statistical Methods for Precision Environmental Health with Mixture Exposures.” The project will develop new statistical and data science tools to estimate individualized effects of environmental exposures, such as air pollution, heat, and heavy metals. The objective is to identify individuals or subpopulations that are most sensitive to environmental exposures and inform targeted public health interventions. Wilson is the overall project principal investigator. The project includes collaboration with Harvard T. H. Chan School of Public Health and the Icahn School of Medicine at Mount Sinai. Read more about the project here.

Professor Matt Koslovsky and graduate student Austin Ellingworth were recognized for excellence in teaching and mentoring by the College of Natural Science (CNS). Matt received the Early Career Faculty Excellence in Teaching and/or Mentoring award. Austin received the Graduate Student Excellence in Teaching and/or Mentoring award. Read about all this year’s CNS award winners here.

Colorado State University seeks a Chair for the Department of Statistics to provide visionary leadership for statistics and data science at a modern land-grant university. We are seeking applicants with outstanding interpersonal communication and organizational skills who are excited about joining an already strong department. Please consider applying here.

The Department of Statistics is searching for two assistant professors starting in the fall of 2024:

1. A tenure-track Assistant Professor. Applicants in all areas of statistics are encouraged to apply. See additional information and instructions here.
2. A non-tenure-track Assistant Professor with a focus on teaching. We are particularly interested in individuals who can teach master’s classes on a variety of applied statistics topics. See additional information and instructions here.

Graduate student Lane Drew received the 2024 Thomas A. Jones Graduate Fellowship from the College of Natural Sciences. The fellowship recognizes graduate students in any program in the College of Natural Sciences that develop advanced quantitative tools to advance research in applied interdisciplinary areas such as ecology, evolutionary biology, or genomics. Lane’s research focuses on developing statistical modeling approaches for applications in tree demography. The work develops computational and Bayesian methods for complex record linkage and spatial data. His research is supervised by Professor Andee Kaplan.