Applied Mathematics & Statistics
Colorado School of Mines
In the Applied Mathematics and Statistics Department at Mines we tie together foundational research and teaching of Computational and Applied Mathematics, Statistics, and Data Science with interdisciplinary applications in the areas of Bio, Geo, Data, and Risk.
Photo Courtesy of Cal Okenberg
Welcome
Welcome to the Department of Applied Mathematics and Statistics!
Mathematics plays a vital role in the education of all students at Colorado School of Mines, both through the advanced training of its own majors and graduate students and through the support it provides to all the engineering and science disciplines.
The Department of Applied Mathematics and Statistics takes pride in its teaching innovations, its contributions to research across campus, and in the quality of excellence in applied mathematics and statistics among its alumni.
News
Join us in congratulating Dr. Cecilia Behn Diniz and AMS graduate student Justin Garrish
Their co-authored paper, "Glycemia, Insulin Sensitivity, and Secretion Improve 3 Months Post-Sleeve Gastrectomy in Youth With Type 2 Diabetes," has been selected as a Featured Article in the Journal of the Endocrine Society. This prestigious recognition means their...
Cecilia Diniz Behn selected as a mentor for the prestigious Beckman Scholars Program
AMS Professor Cecilia Diniz Behn has been selected as a mentor for the prestigious Beckman Scholars Program! This program will support 6 undergraduates through a mentored research experience in either chemistry, biological sciences, or related interdisciplinary...
Dr. Eileen Martin Honored with Presidential Early Career Award for Scientists & Engineers
Dr. Eileen Martin has been honored with the Presidential Early Career Award for Scientists and Engineers. This prestigious award is given to scientists and engineers who show exceptional potential for leadership early in their careers. Martin’s research portfolio and...
Sweta Rai Receives Honorable Mention in ASA ENVR Student Paper Competition
Sweta Rai’s work, titled "Modeling Spatial Extremes using Non-Gaussian Spatial Autoregressive Models via Convolutional Neural Networks," has been selected as one of three honorable mentions in this year’s ASA ENVR Student Paper Competition. As part of this...
Nathan Lenssen’s work featured in NASA’s 2024 Global Temperature Announcement
AMS Professor Nathan Lenssen led the work that was included in several articles Nasa put out discussing the global temperatures in 2024. Lenssen and his colleagues reported the mathematical uncertainties of NASA's own temperature record, known as the GISS Surface...