Summary
Wush Wu is a Machine Learning Scientist with 14 years of experience combining industry deployments and academic research, currently driving ML initiatives at Appier while completing a PhD in Electrical Engineering at National Taiwan University. He has built real-time recommendation and bidding systems that improved click-through rates and reduced data-processing time dramatically, and prototyped a mobile DSP that cut cost-per-click. An organizer of the Taiwan R User Group and adjunct R instructor, he publishes open courses and R packages—one course has attracted over 6,000 learners and is government-recommended. His research on predicting ad impression prices for real-time bidding blends statistical modeling of partially observed data with deep learning, and he has KDD conference acceptances forthcoming. Colleagues describe him as a cooperative researcher who routinely turns state-of-the-art algorithms into production-ready, high-performance systems.
14 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at National Taiwan University
Master, Statistics, Master, Statistics at National Tsing Hua University
English, Chinese