Collection

Problems, Progress and Perspectives in Mathematical and Computational Biology

During the past several decades, the scientific community has witnessed rapid development and advances in both experimental techniques in biology, as well as in mathematical modeling and computational techniques. Development of experimental techniques opens a new world in the life sciences that researchers have not previously been able to access. New modeling concepts and methodologies are emerging to meet the increasing need from modern biology. In this Special Collection we invite experts in the area of mathematical and computational biology to share their view of major problems in their area of interest, their recent research results -- focusing on the development of state-of-the-art modeling approaches and computational techniques applied to problems in the life sciences -- and to present their vision of the new directions needed for addressing unsolved problems. We would like to invite you to submit your original research articles and reviews to this Topical Collection. We seek mathematical and computational research in all areas of the life sciences including, but not limited to, theoretical neuroscience, cancer modeling, cell motility, population dynamics, pattern formation, and growth control in developmental biology -- all with an emphasis on the emerging field in modern modeling and computational methodologies including, but not limited to, dynamical systems, differential equations, stochastic processes, and modern computational techniques. This Topical Collection will be hosted by both the Bulletin of Mathematical Biology and the Journal of Mathematical Biology and is by invitation only.

Editors

  • Professor Qixuan Wang

    Dr. Qixuan Wang is an Assistant Professor of Mathematics at University of California, Riverside. Dr. Wang’s research interests focus on mathematical biology, where she uses computational and analytical tools to study questions that arise in life sciences, particularly in two areas – skin biology and cell swimming.

  • Professor Hans Othmer

    Professor Hans G. Othmer received a Ph. D. degree in Chemical Engineering at the University of Minnesota, has had faculty positions in the Mathematics departments at Rutgers University and the University of Utah, and for the last twenty-four years, has been at the University of Minnesota. His recent research interests focus on biological problems in cell, tissue and organism motility for which mathematical models and analysis can provide new insights and understanding. He is a Humboldt Fellow, a SIAM Fellow, and a fellow of the American Physical Society.

  • Professor Philip Maini

    Philip Maini received his DPhil from Oxford in 1985, under the supervision of J.D. Murray FRS. His first faculty position was at the University of Utah, from where he moved back to Oxford in 1990. He is Director of the Wolfson Centre for Mathematical Biology, and the Inaugural Statutory Professor of Mathematical Biology. His research focusses on the mathematical modelling of mechanistic processes in developmental biology, solid tumour growth and cancer. He is a Fellow of the Royal Society, the Academy of Medical Sciences, the Society for Industrial and Applied Mathematics, and the Society for Mathematical Biology.

Articles

Articles will be displayed here once they are published.