Alexander Kunin is an Assistant Professor of Mathematics at Creighton University who applies a decade of expertise in mathematics, computer science, and computational neuroscience to bridge theory and data-driven connectomics. His PhD work examined how receptive field geometry shapes neural activity, and his postdoctoral research leveraged large-scale datasets like the Hemibrain and exponential random graph theory to relate network structure to neural dynamics. Comfortable moving between rigorous mathematical analysis and computational implementation, he blends academic research with practical software skills developed earlier in industry and internships. Based in Omaha, he brings a rare combination of deep theoretical insight and hands-on experience with large neural datasets, positioning him to advance quantitative understanding of neural circuits.
9 years of coding experience
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at Penn State University
Master's degree, Mathematics, Master's degree, Mathematics at University of Nebraska-Lincoln
Master's degree, Computer Science, Master's degree, Computer Science at The University of Alabama in Huntsville
Bachelor of Science - BS, Mathematics and Computer Science, Bachelor of Science - BS, Mathematics and Computer Science at Stony Brook University
Contributions:164 pushes, 12 branches in 1 year 4 months
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Alexander Kunin - Assistant Professor at Creighton University