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El. knyga: Using Mathematics to Understand Biological Complexity: From Cells to Populations

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This volume tackles a variety of biological and medical questions using mathematical models to understand complex system dynamics. Working in collaborative teams of six, each with a senior research mentor, researchers developed new mathematical models to address questions in a range of application areas. Topics include retinal degeneration, biopolymer dynamics, the topological structure of DNA, ensemble analysis, multidrug-resistant organisms, tumor growth modeling, and geospatial modeling of malaria. The work is the result of newly formed collaborative groups begun during the Collaborative Workshop for Woman in Mathematical Biology hosted by the Institute of Pure and Applied Mathematics at UCLA in June 2019. Previous workshops in this series have occurred at IMA, NIMBioS, and MBI.
Collaborative Workshop for Women in Mathematical Biology
1(6)
Rebecca Segal
Blerta Shtylla
Suzanne Sindi
Connecting Actin Polymer Dynamics Across Multiple Scales
7(28)
Calina Copos
Brittany Bannish
Kelsey Gasior
Rebecca L. Pinals
Minghao W. Rostami
Adriana T. Dawes
Modeling RNA:DNA Hybrids with Formal Grammars
35(20)
Natasa Jonoska
Nida Obatake
Svetlana Poznanovic
Candice Price
Manda Riehl
Mariel Vazquez
Secondary Structure Ensemble Analysis via Community Detection
55(28)
Huijing Du
Margherita Maria Ferrari
Christine Heitsch
Forrest Hurley
Christine V. Mennicke
Blair D. Sullivan
Bin Xu
How Do Interventions Impact Malaria Dynamics Between Neighboring Countries? A Case Study with Botswana and Zimbabwe
83(28)
Folashade Agusto
Amy Goldberg
Omayra Ortega
Joan Ponce
Sofya Zaytseva
Suzanne Sindi
Sally Blower
Investigating the Impact of Combination Phage and Antibiotic Therapy: A Modeling Study
111(24)
Selenne Banuelos
Hayriye Gulbudak
Mary Ann Horn
Qimin Huang
Aadrita Nandi
Hwayeon Ryu
Rebecca Segal
Mathematical Modeling of Retinal Degeneration: Aerobic Glycolysis in a Single Cone
135(44)
Erika Tatiana Camacho
Atanaska Dobreva
Kamila Larripa
Anca Radulescu
Deena Schmidt
Imelda Trejo
A Framework for Performing Data-Driven Modeling of Tumor Growth with Radiotherapy Treatment
179
Heyrim Cho
Allison L. Lewis
Kathleen M. Storey
Rachel Jennings
Blerta Shtylla
Angela M. Reynolds
Helen M. Byrne
Rebecca Segal is Associate Professor at the Department of Mathematics and Applied Mathematics at Virginia Commonwealth University, USA. She holds a PhD in Applied Mathematics from the North Carolina State University.

Blerta Shtylla is Assistant Professor at the Department of Mathematics at Pomona College. She holds a PhD in Mathematics from the University of Utah. Suzanne Sindi is Associate Professor at the Department of Applied Mathematics at University of California, Merced. She holds a PhD in Mathematics from the University of Maryland, College Park.