Brandon Behring, Ph.D., is an applied mathematician holding a Ph.D. in computational and applied mathematics with a specialization in chaotic Hamiltonian systems. They have extensive experience in dynamical systems, networks, complexity, and scientific computing utilizing languages such as Julia, Python, R, and MATLAB. Previously, Brandon served as a lead math and physics tutor and then progressed to roles including PhD graduate student at the New Jersey Institute of Technology and postdoctoral researcher at New York University. Currently, Brandon works as a Senior Data Scientist at Prudential Financial, focusing on machine learning and optimization applications while also pursuing a Master of Science in applied mathematics at New York University.
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