Summary
Zhenyu Liao is a Research Associate Professor at Huazhong University of Science and Technology in Wuhan, where he focuses on statistics, machine learning, and signal processing. With about a decade of research experience, he has built a cross-continental track record, including a postdoctoral stint at UC Berkeley and PhD work at L2S/Supélec before joining HUST in 2021. His PhD from Université Paris-Saclay explored a Random Matrix Framework for Large Dimensional Machine Learning and Neural Networks, advised by Romain Couillet and Yacine Chitour. His academic training also includes a Master in Signal and Image Processing from École Supérieure d'Électricité and degrees in Information Technology and Optoelectronics from Université Paris Sud and Huazhong University of Science and Technology. He maintains a personal website at zhenyu-liao.github.io and actively bridges research across China, Europe, and North America.
10 years of coding experience
1 year of employment as a software developer
Master’s Degree, Signal and image processing, Second year of Master, Master’s Degree, Signal and image processing, Second year of Master at École Supérieure d'Électricité
Master’s Degree, Information Technology, First year of master, Master’s Degree, Information Technology, First year of master at Université Paris Sud (Paris XI)
Bachelor of Science (BS), Optoelectronic, Bachelor of Science (BS), Optoelectronic at Huazhong University of Science and Technology
Doctor of Philosophy (Ph.D.), Statistics and Machine Learning, Doctor of Philosophy (Ph.D.), Statistics and Machine Learning at Université Paris-Saclay
Chinese, English, French