Denizhan Pak is a PhD candidate in Intelligent Systems at Indiana University Bloomington and an associate instructor for upper-level robotics and virtual reality courses, blending teaching with active research. He builds embodied neural models to study vision and motor control, drawing on nine years of programming experience and a strong foundation in algebra and statistics. His background spans web design, systems programming, machine learning, stochastic processes, and data analysis, with past projects including NLP hate-speech detection and an R/C++ library for Bayesian genome analysis. Comfortable at the intersection of theory and implementation, he focuses on cognition models for embodied agents and often leverages computational tools to connect animal behavior insights with algorithmic design.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Intelligent Systems, Doctor of Philosophy - PhD, Intelligent Systems at Indiana University Bloomington
Bachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at University of Tennessee, Knoxville
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