Yuri Rykov is a data scientist with over seven years of post-doctoral experience specializing in health and behavioral data science. Currently serving as a Lead Data Analyst at Okko and a Senior Research Fellow at ITMO University, Yuri develops methodologies to quantify user performance metrics and evaluates digital biomarkers for type 2 diabetes risk prediction. Previously, as a Lead Data Scientist at Neuroglee Therapeutics, Yuri created machine learning models to assess neuropsychiatric symptoms from wearable data, and as a Postdoctoral Research Fellow at Lee Kong Chian School of Medicine, Yuri conducted digital phenotyping research for cardiometabolic and mental health conditions. Yuri holds a PhD in Sociology from the Higher School of Economics, where early research focused on online user behaviors and health-related misinformation.
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