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Kevin Slote

Applied Mathematics Researcher and Data Scientist

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Dr. Kevin Slote is an applied mathematician and data scientist whose work combines nonlinear dynamical systems, causal discovery, topological data analysis, machine learning, and complex systems science. He earned a Ph.D. in Applied Mathematics from Georgia State University, where his doctoral research was advised by Prof. Igor Belykh and performed postdoctoral research under Erik Bollt. His research develops mathematical and computational methods for discovering governing equations, causal mechanisms, and predictive biomarkers from complex data.

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EXPERIENCE & EDUCATION

Kevin has a strong background in data science and has worked in the NLP space for over thirteen years (before it was cool), with an educational background in both applied and pure mathematics.

Preprints

How do you measure false positive rates of models in production? Many data scientists have been asked this question. The sciences and literature on this question is almost non-existent. Through industry funded research we  

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