Yong Bai is a Senior Algorithm Engineer based in Los Angeles with 8 years of experience building and deploying machine learning solutions, particularly in clinical data analysis and time-series mining. He currently designs and implements ML algorithms at Mobike, after leading development of insurance-trade systems that mined customer profiles to inform product requirements. His early research and internships at UCSF and UCLA focused on reducing false ICU alarms and predicting code-blue events, bringing domain expertise in healthcare signal processing to production settings. Trained in biomedical engineering and computer science through PhD programs at UCLA and UESTC, he blends rigorous research methods with pragmatic engineering. Colleagues rely on him for translating clinical insights into robust predictive models and scalable algorithmic systems. An underappreciated strength is his track record of moving academic time-series techniques into real-world products across both healthcare and consumer mobility domains.
8 years of coding experience
1 year of employment as a software developer
direct Ph.D training program, Computer Science, direct Ph.D training program, Computer Science at University of Electronic Science and Technology
Doctor of Philosophy (PhD), BME, Doctor of Philosophy (PhD), BME at University of California, Los Angeles
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Yong Bai - Senior Algorithm Engineer at Mobike 摩拜单车