Dima Lituiev is a senior data scientist in New York with 11 years of experience applying machine learning, computer vision, and NLP to healthcare and biomedical problems. He has led ML efforts at Janssen and UCSF, building annotation and knowledge-extraction tools for medical texts and developing models for pathology, transplant rejection, and outcome prediction across multiple clinical domains. Trained as a systems biologist (PhD, University of Zurich) with a strong wet-lab background, he blends domain expertise with practical ML engineering to move research prototypes into production-ready tools. He is an experienced mentor and educator who creates teaching materials and runs events to share best practices in data annotation and applied ML. Notably, he built domain-specific toolboxes (e.g., slideslicer) and pipelines for normalization and large-scale dataset curation that accelerated COVID-19 and imaging research at UCSF. Practical, research-driven, and collaborative, he focuses on solving high-impact clinical problems with interpretable, reproducible AI.
11 years of coding experience
3 years of employment as a software developer
PhD, Systems Biology, Plant Sciences, PhD, Systems Biology, Plant Sciences at University of Zurich
BSc (Hons), Biology, BSc (Hons), Biology at Kyiv National Taras Shevchenko University
Master of Science (MSc), Hons, Biology, General, Master of Science (MSc), Hons, Biology, General at Nacional'nij Universitet 'Kievo-Mogiljans'ka Akademija'
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