Welcome New Postdocs

Richard Buckalew
Richard Buckalew
Mathematics, Ohio University

Mathematical Biology: Ordinary and Partial Differential Equations models of the cell cycle in (more...)

Mathematical Biology: Ordinary and Partial Differential Equations models of the cell cycle in Saccharhomyces and Drosophila. Dynamics of the pulmonary immune response to infection.

Ruchira Datta
Ruchira Datta
Surgery, University of California, San Francisco

Ecology of the human organism, mathematical & computational biology, game theory, machine learning I (more...)

Ecology of the human organism, mathematical & computational biology, game theory, machine learning I model the human organism as an evolving ecological community. In particular, I model the development and progression of cancer, its resistance to therapy, and metastasis.

Jeff Gaither
Jeff Gaither
Purdue University

Jeff is interested in applying combinatorial methods to problems in genetics. Two particular topics of (more...)

Jeff is interested in applying combinatorial methods to problems in genetics. Two particular topics of focus for him are the theory of alignments in DNA/RNA sequences and mathematical phylogenetics. Jeff also does research in the much more general field of asymptotic theory, and in this capacity investigates the asymptotic properties of sequences drawn from all over biology. Jeff's methodology is a blend of probability, combinatorics and analysis, with generating functions often playing a central role.

Matthew Oremland
Matthew Oremland
Mathematics, Virginia Polytechnic Institute and State University

My research is in the area of mathematical analysis of agent-based models (ABMs), particularly in terms of (more...)

My research is in the area of mathematical analysis of agent-based models (ABMs), particularly in terms of solving optimization problems. I have primarily worked on ABMs of biological systems. I have developed a framework for analysis of ABMs that involves data fitting, statistical validation, optimal control theory for discrete dynamical systems, and a variety of heuristic methods.

 
Leili Shahriyari
Leili Shahriyari

Computational Biology: Mathematical modelling of biological process, Alignments, DNA Computing. Computer (more...)

Computational Biology: Mathematical modelling of biological process, Alignments, DNA Computing. Computer Science: Algorithms, Machine learning. Mathematics: Differential geometry, Partial differential equations, Graph theory. Statistics: Stochastic Processes.