Yutong Dai

Senior Applied Scientist at Salesforce

United States
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Summary

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Senior
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Top School
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.
code10 years of coding experience
job3 years of employment as a software developer
bookBachelor of Science - BS Mathematics(concentration in Statistics ), Bachelor of Science - BS Mathematics(concentration in Statistics ) at Sichuan University
bookDoctor of Philosophy - PhD Industrial and Systems Engineering, Doctor of Philosophy - PhD Industrial and Systems Engineering at Lehigh University
bookMaster of Science - MS Statistics, Master of Science - MS Statistics at University of Illinois Urbana-Champaign
languagesChinese
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Github Skills (127)

hugo-theme10
netlify10
llama10
r9
forestry9
personalization9
hugo9
page-builder9
rstudio9
jupyter9
open-science9
roamresearch9
convex9
rmarkdown9
cuda9

Programming languages (12)

TypeScriptShellCSSC++RTeXJavaScriptHTML

Github contributions (5)

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Rothdyt/codes-for-courses

Sep 2018 - Mar 2020

Contributions:91 commits, 58 pushes, 1 branch in 1 year 6 months
Contributions:10 commits, 9 pushes in 1 year
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