Madison Cooley

Ph.D. Student

University of Utah

I am a Computing Ph.D. student concentrating in Data Management and Analysis at the University of Utah School of Computing. I work in the Scientific Computing and Imaging Institute (SCI), co-advised by Mike Kirby and Shandian Zhe. My research focuses on Physics-Informed Machine Learning (PIML).

I received my bachelor's in Computer Science from the University of Wyoming, minoring in Mathematics and Statistics.

Publications

Debiased Learning of Self-Labeled Twitter Data for User Demographic Prediction [LINK]
Zhen Wang, Madison Cooley, Yang Zhang, Chao Lan, Ji Zhang
2022 IEEE International Conference on Big Data (Big Data)
Parameterized algorithms for identifying gene co-expression modules via weighted clique decomposition [PDF] [Fun Slides] [Slides]
Madison Cooley, Casey S. Greene, Davis Issac, Milton Pividori, Blair D. Sullivan
SIAM Conference on Applied and Computational Discrete Algorithms (ACDA) 2021
Building Collaboration and Securing Interest in Computer Science Education through Outreach Opportunities [PDF]
Shaya Wolf, Fiona Moss, Rasana Manandhar, Madison Cooley, Rafer Cooley, Andrea Burrows, Mike Borowczak
American Society for Engineering Education (ASEE) 2019

Gene Module Decomposition [Slides]
Madison Cooley, Casey S. Greene, Davis Issac, Milton Pividori, Blair D. Sullivan
Invited talk, Algorithm Engineering Seminar, Hasso-Plattner-Institut
Rounding Out Structural Rounding [PDF] [Slides]
Madison Cooley, Blair D. Sullivan, Brian Lavallee
SIAM Workshop on Network Science 2020