Glooko
Hao Wu is a Data Scientist with extensive experience in data analytics and machine learning across various sectors. Currently at Glooko since July 2022, Hao focuses on enhancing diabetes patient care through innovative mobile application development. Previous experience includes four years at Smart Digital GmbH, where responsibilities encompassed both Data Scientist and Data Engineer roles, emphasizing machine learning model development and client interaction. Academic contributions include a position as Assistant Research Scientist at the University of Tuebingen and a Master Thesis Student position at the University of Stuttgart, where the research focused on hyporheic exchange processes. Additional experience covers internships at EvoBus and Shanghai Pudong Development Bank, alongside research and tutoring roles at the University of Stuttgart. Hao holds a Master’s Degree in Environmental Engineering from the University of Stuttgart and a Bachelor’s Degree from Tianjin University.
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Glooko
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Glooko is transforming digital health by connecting people with diabetes and related conditions and their healthcare professionals, enabling telehealth, clinical research, and improved collaboration. The company’s software platforms empower the management of diabetes and other chronic conditions by collecting and unlocking the power of data from blood-glucose meters, CGMs, insulin pumps, connected insulin pens, wearables, connected scales, blood pressure cuffs and activity trackers – bringing insights together in one place.