Eran Mukamel is an associate professor and computational neuroscientist at UC San Diego who develops mathematical models and algorithms to analyze diverse neuroscience datasets—from electrophysiology and optical imaging to genomics—and to link experimental findings to theories of neural computation. With over a decade of academic experience including postdoctoral work at Harvard and the Salk Institute, he combines expertise in statistics, machine learning, information theory, and dynamical systems to build scalable simulation and analysis tools (Matlab, NEURON, Mathematica). He leads the CNDD lab’s open-source software efforts for neural data processing, emphasizing reproducible pipelines for imaging-to-sequencing workflows. Trained in physics and mathematics (BA Harvard) and holding a PhD from Stanford, he blends deep theoretical rigor with practical computational tool-building, often revealing unexpected structure in high-dimensional neural and genomic signals.
9 years of coding experience
10 years of employment as a software developer
B.A., Physics, Mathematics, B.A., Physics, Mathematics at Harvard University
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