Summary
Mykhailo Kuian is a research-focused mathematician and educator based in Cleveland, Ohio, with eight years of experience in quantitative research, data analytics, and machine learning. As a Research Assistant Lecturer at Case Western Reserve University since 2021, he combines rigorous mathematical analysis with hands-on teaching and project leadership. His work spans applied mathematics, numerical algorithms, and the physics of active matter, including postdoctoral research at the University of Minnesota on stability analyses using spectral methods and director-field reconstructions. He commands a broad technical toolkit—Python, SQL, C++, NumPy, SciPy, Pandas, Jupyter, LaTeX, MATLAB—adept at translating complex theory into data-driven solutions. Notably, he linked theory to forecasting by developing a CNN-LSTM approach to predict active-nematic dynamics and employing Chebyshev-polynomial spectral methods for generalized eigenvalue problems, backed by a PhD in Applied Mathematics from Kent State and degrees from Kyiv Taras Shevchenko University.
8 years of coding experience
7 years of employment as a software developer
Master's degree, High Technologies, Master's degree, High Technologies at Kyiv National Taras Shevchenko University
Doctor of Philosophy (PhD), Applied Mathematics, Doctor of Philosophy (PhD), Applied Mathematics at Kent State University
English, Ukrainian, Russian