Yutong Dai is a Senior Applied Scientist at Salesforce with a decade of experience applying statistical rigor and machine learning to product problems, following a PhD in Industrial and Systems Engineering from Lehigh and an MS in Statistics from UIUC. She progressed from research and internship roles into applied research at Salesforce, demonstrating a path from academic foundations to production-impacting ML. Her background spans classical statistics, experimental design, and applied modeling—skills honed across internships at Adobe and Anheuser-Busch InBev that complement her research instincts. Known for bridging rigorous research with engineering pragmatism, she brings both depth in probabilistic thinking and a track record of shipping solutions in enterprise settings. An understated strength is her consistent trajectory of transitioning research prototypes into applied features within large product teams.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Mathematics(concentration in Statistics ), Bachelor of Science - BS Mathematics(concentration in Statistics ) at Sichuan University
Doctor of Philosophy - PhD Industrial and Systems Engineering, Doctor of Philosophy - PhD Industrial and Systems Engineering at Lehigh University
Master of Science - MS Statistics, Master of Science - MS Statistics at University of Illinois Urbana-Champaign
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