An optimization algorithm for non-differentiable objective functions.
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Daniel McNeela
Daniel McNeela
B.A. in Applied Mathematics from University of California, Berkeley
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About Me
I am a software engineer and applied mathematician with a skillset well-suited to tackling complex problems spanning multiple domains. My interests lie in the cross-section of mathematics, statistics, computer science, neuroscience, and linguistics. In particular, I seek to develop statistical and computational models having wide-ranging impact across fields such as machine learning, natural language processing, and theoretical neuroscience.