Assistant Profesor at Nicolaus Copernicus University
Poland
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Summary
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Bogna Bylicka is an Assistant Professor and researcher with a decade of experience blending theoretical physics and applied AI, holding a PhD in Theoretical and Mathematical Physics. She transitioned from studying non-Markovian dynamics and quantum correlations to driving practical deep learning and computer vision projects at Intel, including real-time multi-view 3D human pose estimation for major events and ML-driven storage analytics. Bogna has authored multiple invention disclosures and a patent pending, and she pairs rigorous mathematical modeling with production-focused neural network optimization such as quantization. Known for clear communication and mentoring, she routinely translates cutting-edge research into deployable systems that address real-world problems. An underlying thread in her work is leveraging insights from quantum-level modeling to inform robust, principled ML solutions for complex, noisy environments.
9 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Theoretical and Mathematical Physics, Doctor of Philosophy (PhD) Theoretical and Mathematical Physics at Nicolaus Copernicus University
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Bogna Bylicka - Assistant Profesor at Nicolaus Copernicus University