Dmytro works at the intersection of genomics and machine learning, using deep learning models to study complex symbiotic relationships between microbial and eukaryotic organisms, and between eukaryotes themselves. His bioinformatics background spans undergraduate and graduate training, including research applying computer vision and feature selection to biological data, and industry experience developing data-efficient neural network models to optimize treatment response in personalized cancer therapy. He is drawn to questions difficult to formalize computationally and is passionate about pushing the frontier of what machine learning can answer in biology.
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