Generate a tailored SOP for Dr. Margaret Myers. Improve your application with a focused, well-structured draft.
Margaret Myers is a Lecturer at the University of Texas at Austin in the Department of Computer Science and the Department of Statistics and Data Sciences. She teaches undergraduate and graduate courses in discrete mathematics, linear algebra, and probability statistics, including Bayesian statistics. Her research activities are focused on informal learning opportunities in mathematics education, as well as formal derivation in linear algebra algorithms. Previously, she served as a Senior Research Scientist at the Dana Center, where she contributed to various educational initiatives and partnerships, particularly in the development of MOOCs. Dr. Myers has extensive experience in curriculum development and the application of Bayesian statistical methods within the field of computer science. Her current research includes the application of probability statistical methods to scientific computing and performance, with strong ties to the Science High Performance Computing Group.
University of Texas at Austin • Austin, TX
Teaching courses in discrete mathematics, linear algebra, and probability statistics.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.