Professor Konstantina Trivisa and AMSC Alum Shelby Wilson (PhD, AMSC, 2012) were elected as 2023 Fellows of the Association for Women in Mathematics. This fellowship recognizes individuals "for their exceptional dedication to increasing the success and visibility of women in mathematics."
Konstantina Trivisa, University of Maryland
"For her tireless efforts and dedication to increase diversity in the mathematical sciences at all levels from high school to higher education; for organizing outreach events for secondary students; and for support of women at all career stages: recruiting and mentoring graduate students, hiring and retaining faculty, and highlighting speakers at international conferences."
Professor Konstantina Trivisa is an Applied Mathematician holding a joint position at the Department of Mathematics, the Institute for Physical Science and Technology and the Center for Scientific Computation and Mathematical Modeling at the University of Maryland. She currently serves as Director of the Institute for Physical Science and Technology (IPST), and she previously served as Director of the AMSC program from 2007 - 2018. Her research lies on the interface between nonlinear partial differential equations and continuum physics and focuses on applications in fluid dynamics, multiphase flows, continuum mechanics, materials science and math biology.
Shelby Wilson, Johns Hopkins University Applied Physics Laboratory
"For her unwavering dedication and work towards uplifting and inspiring women and Black mathematicians, including co-development of “Mathematically Gifted and Black”; for being an exceptional mentor and role model; and for her inspiring leadership initiating and amplifying conversations about how to help create a more inclusive mathematics community."
Shelby Wilson, Ph.D., graduated from the AMSC program in 2012. She is an Applied Mathematician with experience in the area of Mathematical Biology, now working at the Johns Hopkins University Applied Physics Laboratory as Senior Professional Staff. Her research interests lie in the use of techniques of parameter estimation, dynamical systems, network theory, and machine learning to create models of biological phenomenon (e.g. cancer growth, sleep dynamics, social organization).She is also passionate about outreach and facilitating an increase in diversity in the mathematical sciences.
Please check out the whole article here: https://awm-math.org/awards/awm-fellows/2023-awm-fellows/