Alexey Kuznetsov

Alexey Kuznetsov is an Associate Professor in the Department of Neuroscience at Indiana University's School of Science. His research focuses on computational and mathematical modeling of biological processes, particularly the electrical activity of neurons and regulatory molecular networks. Current work emphasizes addiction's impact on brain circuitry, specifically modeling the dopamine system's role in goal-directed learning. Affiliated with the Institute for Mathematical Modeling and Computational Science, his interdisciplinary approach bridges experimental data across levels using computational frameworks.

Education:

• PhD equivalent in Physics and Mathematics, State University of Nizhny Novgorod (1996-1999)
• Postdoctoral Research Associate, Boston University Mathematics Department (2002-2005)

Research Interests: Combines computational neuroscience with mathematical biology to model neural systems, addiction mechanisms, and genetic oscillators. Key areas include dopamine neuron excitability, synaptic dynamics, and chaos in biological networks. His work aims to develop unified modeling approaches for diverse biological systems.

Publications: Recent work highlights dopamine neuron modeling, GABAergic neuron synchronization effects, and chaos in genetic networks. These studies emphasize interdisciplinary applications of mathematics and computation to neuroscience challenges.

Grants & Labs: Active in the Institute for Mathematical Modeling and Computational Science. Research supported by projects analyzing addiction's neural underpinnings and systems biology approaches to disease modeling.