Bruce A. Wade

Professor & Head

C.B.I.T. TC/LEQSF Regents Professor

Department of Mathematics, University of Louisiana at Lafayette

& Emeritus Professor, Department of Mathematical Sciences, University of Wisconsin- Milwaukee

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Contact

215 Maxim Doucet Hall
337-482-5172 & 5173
bruce.wade@louisiana.edu

Mathematics Department
P.O. Box 43568
University of Louisiana at Lafayette
Lafayette, LA 70503-3568


B. Wade

Degrees

Ph.D. 1987 University of Wisconsin- Madison
M.S. 1984 University of Wisconsin- Madison
B.S. 1982 University of Wisconsin- Madison

For a detailed list of publications: C.V.

Information

I received Bachelor of Science (1982) and Master of Science (1984) degrees in mathematics from the University of Wisconsin- Madison. From 1979-1982 I was a member of the UW Marching Band. I earned a Ph.D. degree in Mathematics (1987) from the University of Wisconsin- Madison. My dissertation, which is in the area of Numerical Analysis, was directed by John Strikwerda. While a doctoral student I was employed by the Army Math Research Center. After graduating, I received a post-doctoral research appointment in Mathematics at Cornell University, Mathematical Sciences Institute, also sponsored by the U.S. Army. There, I studied under Lars Wahlbin. I joined the faculty in the Mathematical Sciences Department at University of Wisconsin- Milwaukee in 1989. After serving 29 years at UW-Milwaukee (now Professor Emeritus at UW- Milwaukee), I moved to the University of Louisiana at Lafayette as Professor, C.B.I.T. TC/LEQSF Regents Professor, and Department Head (Mathematics).

I teach mathematics and conduct research in applied mathematics, computational mathematics, data science, and machine learning. My research interests are, generally, in the areas of numerical analysis and computational mathematics. With graduate students, my research group has been working on various questions in data science and machine learning, including the development of efficient algorithms in high dimensional optimization, dimension reduction, mathematical modeling in machine learning (e.g., Variational Autoencoders VAE), and optimization in the context of neural networks/deep learning. We have worked on theory and algorithms for problems of missing data under monotone or non-monotone patterns, optimization and hyper-parameter tuning in general applications and Data Science, as well as Ridge Functions and Active Subspaces for dimension reduction. We have developed theory and application of several new Copulas to model multivariate non-normal distributions, exploring complex margin and tail inter-dependence.

I am associate editor for these journals (click the images):

Comp&MATH_Meth

Int_j_Comput_Math

Int_j_Comput_Math



I am Co-Founder of the International Research Conference Series Computational and Mathematical Methods in Science and Engineering (CMMSE) (click the image):

CMMSE



Stephens Hall.