Nicholas Cain is a skilled professional with a diverse background in applied mathematics and software engineering. With a Doctor of Philosophy in Applied Mathematics from the University of Washington, Nicholas served as a Pre-Doctoral Lecturer and Graduate Student, contributing to the Department of Applied Mathematics. Experience includes roles as a Scientist 2 at the Allen Institute for Brain Science, where development of mathematical models of neural dynamics took place, and a series of software engineering positions at Google, focusing on AI and natural language processing. Additionally, an instructor role was held at the Johns Hopkins University Center for Talented Youth, teaching mathematical modeling across various disciplines. Nicholas's expertise combines academic knowledge with hands-on experience in research and technology.
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