Rate My Professor Melanie King

Melanie King serves as Assistant Professor of Mathematics in the Mathematics and Statistics Department at Cornell College, a position she has held since 2020. A native of Atlanta, Georgia, King completed her Ph.D. in Applied Mathematics at the University of Iowa in July 2020, with a dissertation entitled "Length Space Skeletonization." This work focused on computational methodologies in artificial intelligence and image processing, including the collapse problem in image registration, and was presented by King at the 2020 Joint Mathematics Meetings in a talk titled "Length Space Skeletonization in 2-Dimensions." Prior to her graduate studies, she participated in a one-year post-baccalaureate program at Smith College in Northampton, Massachusetts. Now residing in Solon, Iowa, King is an active member of the mathematical community, including service on the Iowa-NExT Steering Committee of the MAA Iowa Section and as faculty for the EDGE Program, where she taught Real Analysis during the 2024 summer session as part of the EDGE 2014 cohort.

At Cornell College, known for its distinctive block plan calendar that allows intensive completion of courses in 18 days, King teaches a broad spectrum of undergraduate mathematics courses, including algebra, pre-calculus, single-variable and multivariable calculus, linear algebra, and general applied mathematics. Her pedagogical approach prioritizes inquiry-based activities and problem-solving to promote genuine understanding and metacognitive reflection on the learning process, moving beyond mere replication of procedures. King has contributed to campus discourse through features in Cornell College publications, such as "The Mathematical Mind" in the 2023 Summer Cornell Report, where she explores how mathematicians approach real-world problems using applied mathematics. She is listed among the department faculty supporting the Mathematics B.A. program, which requires core courses in calculus and advanced topics, as well as related programs in Applied Statistics and Data Science. King's emphasis on practical applications aligns with her doctoral training and enhances student engagement in a liberal arts environment.