Paul Li

Paul Li is an accomplished Data Science and RF expert with a strong background in deep learning, mathematics, and statistics.

He spearheaded a Data Science/RF project that led to the development of the MBLS software product, securing a software copyright for the innovative solution, which has been successfully tested by various mainstream companies.

With over 20 years of experience in the deep learning industry, Paul has a proven track record of creating cutting-edge solutions, including a real-time deep learning product for locating mobile devices in passive mode.

His exceptional mathematical and statistical skills are evident in his publication on the "2-Soliton Solution to Einstein's Equations for gravitational wave" in Phisica Sinica 中国物理学报, and his remarkable achievement of ranking 27th in the mathematics national contest of China.

Paul Li holds a Master's degree in Gravitational Physics from Sun Yat-sen University and a Master's degree in Electrical, Electronic, and Communications Engineering Technology from The University of Texas at Arlington.

His professional journey includes roles as a RF Design Data Scientist at Collabera Inc., Senior Consultant at Wireless Telecom and Nexius - APN, Scientist at Shadow data, and founder of Ruixun.

Outside of his professional endeavors, Paul enjoys playing the violin, exploring inventions, and promoting solar energy.

Paul Li's expertise lies in data science, RF technology, deep learning, mathematics, statistics, and gravitational physics.

He showcases a strong publication record and a successful history of developing and implementing innovative products within the technology sector.