Fanyou Wu is an Applied Scientist II at Amazon in Seattle with nine years of experience bridging academic research and industry-scale machine learning. After earning a PhD in Forestry from Purdue University and completing a postdoctoral stint there, Fanyou shifted into applied ML work that leverages rigorous scientific methods for production problems. Their background suggests strong expertise in experimental design, statistical modeling, and domain-driven data science—skills honed in an uncommon transition from environmental science to industrial AI. Based on their academic-to-industry trajectory and maintained personal website, Fanyou combines deep research instincts with a practical focus on deploying robust, reproducible solutions at scale. Colleagues can expect a researcher-minded engineer who translates complex ecological and statistical knowledge into impactful, production-ready models.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Forestry, Doctor of Philosophy - PhD, Forestry at Purdue University
Efficient Project Gradient Descent for Ensemble Adversarial Attack
Contributions:14 commits, 13 pushes, 1 branch in 2 years
adversarialdescentensemblegradientattack
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