Research

My current research projects are focused on model estimation algorithms, qualitative reasoning for continuous-time dynamical systems, and the utilization of principles from dynamical systems theory to analyze and reduce complex neuroscience models. This work is supported by an NSF grant from the Emerging Models and Technologies program of the Division of Computer and Communication Foundations. The title is "A Computational Framework for Inferring Self-Regulatory Properties from High-Dimensional Dynamic Models of Biological Systems".

I also received two internal grants (URSA Research Initiation Grant and Brains & Behavior Seed Grant) to support research initiation in my first year at Georgia State.

I am the primary developer for the PyDSTool dynamical systems software package, which implements various ideas being developed in my research.

I co-run the Spineless Neural Systems group with Paul Katz.. Here is a useful collaborative tool for invertebrate neuroscience.

Ron Calabrese and Rob Butera recently gave very interesting Long View seminars at GSU.

I belong to the Neural Ensemble online community, which focuses on python software tools for neuroscience.

Open Positions

I have an NSF-funded PhD position available in computational neuroscience.

I also have a PhD position available in integrative biomechanics, computational modeling, and nonlinear dynamics, to be supervised jointly with Don Edwards.

I have a short-term technical consultant position open for Python programming for the PyDSTool project.

Teaching

Numerical analysis - MATH 4610

Fall 2009. Details on this course can be found here.

A useful tool in learning the basics of computer arithmetic is this python module, which simulates binary floating point representation to IEEE 754 standards of arbitrary fixed precision, or to infinite precision.

This page is still in development. For other information, please see my old page at Cornell.