Thursday April 29: K-State Math Department Women Lecture Series - Colloquium talk by Blair Sullivan (University of Utah)

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Anna Zemlyanova

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Apr 23, 2021, 1:42:58 PM4/23/21
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The Kansas State University Department of Mathematics is hosting a Women Lecture Series in celebration of the 50th anniversary of the Association  for Women in MathematicsThe series includes  Distinguished Lectures and colloquium talks by women mathematicians planned throughout 2021. The talks will be streamed live during Spring 2021 and may be streamed live and/or in person during Fall 2021, depending on the circumstances of the pandemic. The talks will be held at 2:30pm-3:20pm Central Time on a Tuesday or a Thursday; there will be time for Q&A at the end of each talk. See the Spring 2021 schedule at https://www.math.k-state.edu/events/wls/
COLLOQUIUM TALK

BLAIR SULLIVAN (University of Utah)

Thursday, April 29th, 2021, 2:30pm (Central Time)

Streamed live: https://youtu.be/k5gqMwHZLxs

(No registration or sign in needed, unless you would like to ask questions through the chat; in that case, you must login with a gmail account.) 

Title:  Putting parameterization into practice

Abstract: The field of network science has burgeoned in the last two decades, developing new methods for analyzing complex network data of ever-increasing scale. Surprisingly, few approaches draw on the wealth of efficient algorithms arising from structural graph theory and parameterized complexity. In part, this is due to the primarily theoretical nature of the related literature, unrealistic structural assumptions, and a lack of cross-pollination of the research communities. In this talk, we survey the key ingredients for bridging this theory-practice gap, and describe several applications which demonstrate the potential of parameterized graph algorithms in computational genomics. 

Blair D. Sullivan is an Associate Professor in the School of Computing at the University of Utah. Prior to joining Utah, Dr. Sullivan was an Associate Professor at NC State University, and before that a Research Scientist at Oak Ridge National Laboratory. She received her Ph.D. in Mathematics from Princeton University in 2008 as a Department of Homeland Security Graduate Fellow, and B.S. degrees in Applied Mathematics and Computer Science from Georgia Tech in 2003. Sullivan’s research cross-cuts the fields of data-driven science, parameterized graph algorithms, network science, and algorithm engineering with a recent focus on problems arising in computational genomics. In 2014, Sullivan was named one of 14 Moore Investigators in Data-Driven Discovery. She currently serves on the Steering Committee for SODA, and recently ended terms as Vice-Chair for both the SIAM SIAG on Discrete Mathematics and the SIAG on Applied & Computational Discrete Algorithms.
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