Panel

Title: Life After College

Abstract: Mathematics and statistics majors have a variety of options after college/university. A graduate could directly head into a business/industry/non-profit/government job after graduation or continue their studies in a terminal master's degree or a Ph.D. program. Even after graduate school, choices abound: An academic career, a job in industry, a national research lab, or in business, etc. This panel will be an open discussion on these different career options and provide tips to participants on how to best prepare for life after college. The panel will allow for Q&A time for participant questions.

Panelists: 

Miklós Bóna received his PhD at Massachusetts Institute of Technology in 1997. Since 1999, he teaches at the University of Florida, where he has been inducted into the Academy of Distinguished Teaching Scholars. He is the author of more than 100 research papers and five books. He is one of the editor-in-chiefs of the Electronic Journal of Combinatorics, and has been serving as the Chair of the Graduate Selection Committee of the Department of Mathematics at the University of Florida for seven years.

Tony Ellero is an Associate Director of Data Science at Verizon, with specific focus on customer profitability through the lens of promotions & lending. His industry focus always been on customer behavioral data science problems, also in the online advertising and retail spaces. He has a B.S. in Math & Economics from GVSU and a Masters in Applied Math from the University of Dayton.

Ivanti Galloway is a Biostatistician at Merz Aesthetics, where she leverages advanced statistical methodologies to support clinical research and drive data-informed decisions in the medical aesthetics industry. Prior to this role, she spent four years as a Statistician at Duke University, where she focused on studying single nucleotide polymorphisms (SNPs) and their relationship to Alzheimer’s disease. Ivanti earned her Master’s degree in Mathematics from Wake Forest University and her Bachelor’s degree in Applied Mathematics from the University of North Carolina at Greensboro (UNCG).

Stephanie Loewen is a Mathematician at the US Army GVSC primarily conducting data science. She provides her customers data-driven results to inform the future of Army ground vehicles. She has a B.S. in Mathematics from Grand Valley State University and a M.S. in Data Science from Notre Dame University.

Hao Helen Zhang is Professor of Mathematics and Chair of Statistics and Data Science Graduate Program at the University of Arizona. Her research focuses on statistical machine learning, high dimensional data, and nonparametric methods, with active collaborations across various data science domains.  She has published more than 100 research articles and advised 30 Ph.D. Students.  She earned a B.S. degree In Mathematics from Beijing University and a Ph.D. in Statistics from the University of Wisconsin-Madison.