Have you ever wanted the power to create a hurricane, control pollutants in aquifers, and finish it all off with a perfectly cooked (i.e., medium-rare) steak by only using your mind (and Python)?
In this (semi-ridiculous but entirely serious) seminar, I connect virtually every aspect of my research to a course offered in the Department of Mathematical and Statistical Sciences at CU Denver. The central role that Python and Jupyter notebooks play in enhancing and rapidly disseminating research and educational efforts is also explored. On-going educational efforts at incorporating programming and interactive notebooks throughout all levels of the mathematics and statistics curriculum are also discussed.
Come for the funded research; stay for the course advising!
Dr. Butler received his BS in electrical engineering (2003) and his MS (2005) and PhD (2009) in mathematics from Colorado State University. From 2009-12, Dr. Butler was a Postdoctoral Research Fellow (2009-11) and Research Associate (2011-12) in the Computational Hydraulics Group housed within the Institute for Computational Engineering and Sciences at The University of Texas at Austin. From 2012-13, Dr. Butler was a Research Scientist in the Department of Statistics at Colorado State University. In Fall 2013, Dr. Butler joined CU Denver as an Assistant Professor in the Department of Mathematical and Statistical Sciences. From 2014-17, Dr. Butler served as the Director for the Center for Computational Mathematics at CU Denver. In 2019, Dr. Butler received tenure and promotion to Associate Professor. Since Fall 2021, Dr. Butler has served as the Associate Chair of the Department of Mathematical and Statistical Sciences. In 2022, Dr. Butler served as a Faculty Fellow within the Inworks Innovation Initiative to provide support in implementing key elements of the Interdisciplinary Computing Task Force. Dr. Butler's research has been supported by various grants and contracts from the National Science Foundation, Department of Energy, and Department of Defense.