Summary
Xuewen Yao is a data scientist and PhD candidate in Electrical and Computer Engineering based in Mountain View with nine years of experience building activity and event detection models across motion, audio, and text. He has interned at Amazon, Apple, and Microsoft and now works at Microsoft, translating research-grade sensing and NLP techniques into production-ready solutions. His academic work includes publications in IMWUT and ICASSP, reflecting a strong focus on multimodal sensing and real-world evaluation. Beyond models, he has experience synchronizing heterogeneous sensor streams and developing mobile-sensing paradigms for behavioral health, a practical angle that bridges lab research and deployed systems.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (BEng), Information Engieering, Bachelor of Engineering (BEng), Information Engieering at City University of Hong Kong
Pembroke and King's Programme, Pembroke and King's Programme at University of Cambridge
The University of Maryland, College Park
PhD, Electrical and Computer Engineering, PhD, Electrical and Computer Engineering at The University of Texas at Austin
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Georgia Institute of Technology
Chinese, English