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Welcome new faculty!
The Department of Mathematics and Statistics has grown a lot in the last few years and continues to grow! This year, we welcome three new full-time faculty to the department! Join us in welcoming them to the department, next time you see them!
Brian Seguin
Dr. Seguin grew up in the Western Suburbs of Chicago and obtained a BS in Engineering Mechanics from the University of Illinois Urbana-Champaign in 2005 before he earned a PhD in the Mathematical Sciences from Carnegie Mellon University in 2010 under the supervision of Walter Noll. Since then he has had postdocs at McGill University in Canada and the University of Dundee in Scotland. His research interests are at the intersection of geometry and analysis with applications to material science and biology. For example, he has worked on projects involving plant cell biomechanics, lipid bilayers, liquid crystal theory, and soap films. Brian is excited about joining the faculty at Loyola and being back in the Chicago area.
Stephen London
Dr. London received his BS in mathematics from North Carolina State University and his PhD in mathematics from the University of Illinois at Chicago, working with Dr. Vera Pless. Prior to coming to Loyola, he taught mathematics at Dominican University and the University of Illinois at Chicago and worked as a computer programmer. Between his undergraduate and graduate studies he worked for six years in industry as a software engineer and programmer.
Adriano Zambom
Dr. Zambom received his PhD in Statistics from Penn State, studying hypothesis testing and variable selection in nonparametric regression with Dr. Michael Akritas. Soon after receiving his PhD, he became a post-doctoral scholar at the State University of Campinas, Brazil, where he later became an Assistant Professor. Dr. Zambom taught at Penn State for one semester before starting his career in the Department of Mathematics and Statistics at Loyola University Chicago. His current research involves the application of nonparametric techniques to time series analysis and trajectory estimation.
