Igor Gridchyn is a Senior Applied AI/ML Engineer based in Vienna with over a decade of R&D experience at the intersection of computational neuroscience, computer vision, and industrial ML. He led the design and implementation of a pioneering real-time brain-machine interface that enabled selective memory disruption—work published in Neuron—alongside contributions to discrete optimization and imaging research. At TetraScience he now architects AI/ML solutions for large pharma across ADME, bioprocessing, digital QC, and cell line development, having previously built end-to-end scientific data workflows as a data architect. Comfortable both as an independent researcher and a collaborative engineer, he bridges rigorous academic methods with production-grade system design. Notably, his background spans commercializing face recognition tech integrated into consumer devices and mentoring PhD and MSc students, reflecting a rare blend of high-impact science and applied product delivery.
12 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD, Computational / Systems Neuroscience, Doctor of Philosophy - PhD, Computational / Systems Neuroscience at Institute of Science and Technology Austria
Master's degree, Informatics, 4.92, Master's degree, Informatics, 4.92 at Kyiv National Taras Shevchenko University
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