Eugene Scherba leads machine learning development at Stovell AI Systems, and joined in 2019. He is responsible for the delivery of predictive machines that achieve superior edge in volatile marketplaces, the firm’s technology strategy, and leading the evolution of development protocols in line with the industry’s best practices. He also focuses on growing the team’s ML capability and research and development.
Eugene has been involved in the ML industry since 2013, successfully engineering high function ML systems addressing complex predictive challenges. Previously, he worked on a real-time recommender system product at Vevo that involved making sense out of massive web-scale datasets. He also was the ML lead on an ML-driven content quality system at Livefyre, a product that eventually contributed to Livefyre’s acquisition by Adobe.
Eugene has a BS in Biochemistry and Molecular Biology from Boston University. He also conducted computational research of human longevity at a Laboratory for Bioinformatics at Boston University and at BU School of Medicine.
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