Peter J. ThomasAssociate Professor in the Department of Mathematics, Applied Mathematics and Statistics Office: Yost 212A (2163683623) Lab: Yost 212B (2163688710) Email: pjthomas( AT )case.edu  
B.A., Yale University, 1990 (Physics and Philosophy) M.S., The University of Chicago, 1994 (Mathematics) M.A., The University of Chicago, 2000 (Conceptual Foundations of Science) Ph.D., The University of Chicago, 2000 (Mathematics) 

Research: Mathematical Biology, Theoretical Neuroscience, Computational Cell Biology. Links:
Teaching: (Fall 2006) MATH 224: Differential Equations

MCell simulation of a cell in a field of signaling molecules. Top: uniform background distribution. Bottom: distribution after imposing flux conditions. 
Signal transduction networks are the biochemical systems by which living cells sense their environments, make and act on decisions  all without the benefit of a nervous system. How do cells use networks of chemical reactions to process information? We are combining mathematical ideas from the theory of stochastic point processes and Brownian motion with information theory to develop a framework for understanding information processing in biochemical systems. As a case study we are studying gradient sensing in neutrophils (white blood cells) and the social amoebae (Dictyostelium) from the points of view of information theory and statistical signal detection theory. Projects range from highly theoretical (devising information measures for time varying continuous time Markov processes) to highly computational (simulation of gradient sensing networks using explicit Monte Carlo techniques such as MCell. Gradient sensing work is being pursued in collaboration with the Baskaran laboratory.

Monte Carlo sampling of the Heisenberg XY Model with (+) center () surround lateral interaction. Color represents preferred orientation angle (Thomas 2000, thesis). Bifurcation planform corresponding to a predicted spontaneous hallucination pattern (Bressloff et al 2001A). 
The pathway from the eyes to the visual cortex organizes spontaneously during development using a combination of intrinsic chemical markers and correlationbased, activitydependent (``Hebbian") mechanisms. The resulting cortical architecture shows fascinating quasiregular patterns with elements including pinwheel and other phase singularity lattices in the cortical maps representing orientation, ocular dominance, retinotopic position and other features of the visual world. Using methods from equivariant bifurcation theory  the study of branching solutions in the presence of symmetry  an elegant theory has been developed that accounts for many aspects of the structure of cortical maps. The same mathematical structure underlies the forms of geometric visual hallucinations reported by subjects experiencing sensory deprivation or treatment with mescal, cannabis and other hallucinogens.

Anopheles mosquito, capable of transmitting malaria. Analysis of molecular diagnostic data. Xaxis: fluorescence signal associated with drug sensitive allele. Yaxis: signal for drug resistant allele. Sloped lines: diagnostic thresholds. 
Molecular diagnostic technology pioneered by collaborator P. Zimmerman in CWRU's Center for Global Health and Diseases promise faster, more accurate means for tracking and combatting the spread of drug resistance in endemic malaria populations worldwide. In order to achieve their potential the new methods require novel analysis tools. Mathematical ideas as simple as coordinate transformation and histogram segmentation have proven effective in boosting the accuracy of molecular genotyping techniques for discriminating drugsensitive from drugresistant infections.

Updated: August 3, 2010