Tom Bertalan

I am a fifth-year graduate student soon to receive my PhD from Princeton University's department of Chemical and Biological Engineering, with a Graduate Certificate in Computational and Information Science.

My research interests are in data mining and dimensionality reduction for high-dimensional dynamical systems, with applications in robotic perception and planning, and computational neuroscience.

Robotics

Build a differential-drive robot with LIDAR as its primary sense.

Equal Space

Use nonlinear manifold learning to discover automatically both the true dimensionality and the underlying spatial coordinates that define a high-dimensional simulation trajectory.

Circadian Rhythms

Simulate circadian rhythms in the suprachiasmatic nucleus of the hypothalamus.

ANOVA and PCE for Biological Neural Networks

Use ANOVA to perform integrals for polynomial chaos expansions.

Debriefing Neural Networks for Nonlinear Dynamics

Use neural networks as models for process dynamics, and manifold learning to understand and simplify the fitted networks.

Next Task Decider

Process task list and decide what I should do next.

Hierarchy Formation

Simulate the formation of dominance hierarchies through social combat.

Diffusing Neuromodulator

Include a diffusing neuromodulatory signal in a simulation of a biological neural network.