• Stan Sclove image June 15, 2021

    Stan Sclove

    Stan was born in Charleston, West Virginia, and grew up in Huntington, West Virginia, and graduated from Huntington High School. He then attended Dartmouth College, graduating with a math major. He then went to Columbia University’s Department of Mathematical Statistics, getting a PhD. He served as a TA to T.W. Anderson in a statistics course for grad students in Sociology. During the summers, Stan worked as a Statistician in the Laboratory of Medical and Biological Sciences, Taft Center, U.S. Public Health Service, Cincinnati, Ohio. After finishing the PhD at Columbia, he was a Research Associate (postdoctoral fellow) for two years …

  • Paul McNicholas image June 15, 2021

    Paul McNicholas

    Paul McNicholas was born in Cork, Ireland, and raised in Dublin, Ireland. He was educated at Trinity College Dublin, where he studied mathematics, high-performance computing, and statistics. He is currently a Professor and Canada Research Chair in Computational Statistics at McMaster University, Hamilton, ON. His research focuses on statistical approaches to clustering, with a focus on clustering using mixture models. To date, he has written two monographs and over 100 research articles. Recent work includes approaches for higher order data as well as approaches for dealing with outliers. He has received some recognition for his work, including the Steacie Prize …

  • Abby Flynt image June 15, 2021

    Abby Flynt

    Abby Flynt is a statistician originally from Buffalo, NY. She received a Bachelor’s Degree in Mathematics Secondary Education from the State University of New York at Fredonia and a Master’s and PhD in Statistics from Carnegie Mellon University. Abby joined the Department of Mathematics at Bucknell University in 2012. She teaches introductory to advanced statistics courses to undergraduates, as well as a Foundation Seminar for first year students on sports analytics and an Integrated Perspectives course for sophomores on Data Science. Abby’s research is broadly focused in machine learning and data science. More specifically, she works on both theoretical and …

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