Lifan Wu

Applied Scientist at Amazon

United States
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Summary

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Lifan Wu is an applied scientist with six years of experience translating advanced quantitative methods into production at Amazon and AWS after a Ph.D. in Operations Research from Cornell. He has a strong background in financial engineering and data science, having built state-space models and visualization tools for fixed income and CLO issuance during roles at Morgan Stanley and Swiss Re. Comfortable spanning research and engineering, he teaches complex stochastic and simulation concepts based on years of academic instruction experience. At Amazon he now applies that toolkit to large-scale ML problems, combining rigorous probabilistic modeling with practical product-focused deployment. A detail that sets him apart is his early career breadth—from actuarial reviews and bank client work to building web tools—giving him both domain depth and user-centered perspective.
code6 years of coding experience
job5 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.) Operations Research, Doctor of Philosophy (Ph.D.) Operations Research at Cornell University
bookBachelor of Science (BS) Mathematics and Statistics, Bachelor of Science (BS) Mathematics and Statistics at Purdue University
bookHigh School Affiliated to Fudan University
languagesEnglish, Chinese
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Stackoverflow

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Github Skills (13)

code-review9
vscode8
github6
visual-studio6
vscode-extension6
visual-studio-code5
gcode3
3d-printing3
cnc-controller3
qt3
robot1
robotics1
ros1

Programming languages (4)

TypeScriptC++HTMLPython

Github contributions (5)

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一个基于qt的简单小游戏雷霆战机
Contributions:7 commits, 4 PRs, 5 pushes in 1 year 7 months
qt4qt
wusar/crypto_homework

May 2021 - Sep 2022

Contributions:1 push, 1 branch in 1 year 4 months
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