Boris Kazachenko is an independent researcher based in Boston with nine years of professional experience exploring alternatives to mainstream deep learning. He leads an open, comparison-first research project that seeks to rethink learning paradigms rather than iterate on neural architectures. With an interdisciplinary MA in Political Science and Cognitive and Neural Systems from Boston University, he blends formal cognitive theory with practical computational inquiry. Operating as a self-employed researcher since 2011, Boris favors open collaboration and transparent methods over proprietary silos. His work signals a willingness to challenge dominant assumptions in ML and to publish approaches that encourage rigorous comparative evaluation.
9 years of coding experience
Master of Arts (M.A.), Political Science and Government, Cognitive and Neural Systems, Master of Arts (M.A.), Political Science and Government, Cognitive and Neural Systems at Boston University
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Boris Kazachenko - Independent Researcher at Self-employed