Working Group leader: Esteban Hernandez-Vargas, Klas Udekwu
Group members: Alejandro Anderson, Matt Kinahan, Ishmael Staples
Originated: July 2023
Description: This working group will develop the mathematical foundations to predict antibiotic-resistant and -susceptible bacteria population dynamics. Computational algorithms will indicate the best chronological order and respective duration of each antibiotic.
Working Group leader: Craig Miller Group members: Holly Wichman, JT Van Leuven, Yesol Sapozhnikov, Keera Paull, Jacob Schow, Tessa Wedmyer Originated: June 2015 Description: This working group focuses on phage and phage-host interactions. We have several research directions. One project involves attenuating the bacteriophage phiX174 using synonymous recoding and asking questions about how mutational effects…
Working Group Leader: Marty Ytreberg Group Members: Jonathan Barnes, Jagdish Patel, America Chi Originated: December 15, 2022 Description: MoMo will brainstorm ideas to participate in the pandemic preparedness proposal that will be led by University of Texas, Austin.
Working Group leader: Kristopher Waynant Group members: Darren Thompson, Tyler Siegford, Tanner Hahn Originated: March 1, 2019 Description: Modeling efforts of Muc7 homologs for understanding possible glycosylation patterning that will allow for bacterial agglutination. Using the preliminary results from this data we are attempting to synthesize the first of these analogs. We hope to see…
Working Group leader: Erich Seamon Group members: Jonathan Barnes, Sarah Bassing, Nurbanu Bursa, Matt Falcy, Jean-Marc Gauthier, Xiao Hu, Jennifer Johnson-Leung, Ginny Lane, Hussain Qazaq, Dilshani Sarathchandra, Terence Soule, Klas Udekwu, James Van Leuven, Meng Zhao, Helen Brown Originated: August 2023 Description: This working group will explore research efforts that connect climate change with health…
Working Group Leader: Bert Baumgaertner Group Members: Florian Justwan, Kendal Mitton, Chenangnon Tovissode Originated: January 2023 Description: This working group uses both modeling and empirical investigations to understand the role that evidentiary standards play when individuals evaluate claims. We are interested in the systematic ways standards of evidence differ across various types of claims (e.g….
Working Group leader: Fuchang (Frank) Gao and Audrey Fu Group members: Audrey Fu, Min Xian, Aleksandar Vakanski, Linh Nguyen, Boyu Zhang, Esteban Hernandez Vargas Originated: August 2018 Description: This group studies various machine learning methods/models and their application with two primary goals: Dr. Gao states, “It is important that CMCI continue to support this kind of…