Wei Wang

Wei Wang is an accomplished researcher and scientist with extensive experience in bioinformatics, machine learning, and software engineering. Wei Wang began professional experience as a Research Assistant at the Chinese Academy of Sciences, contributing to HIV research through gene expression data analysis. Following this, Wei Wang furthered expertise at The University of Texas at Austin and Michigan State University, developing innovative methods such as the SERES approach for biological sequence analysis. Wei Wang's work at Meta and LinkedIn involved creating effective models for fake name detection and refining detection algorithms to handle unbalanced data. Wei Wang holds a Master of Science in Bioinformatics and a PhD in Computer Science, demonstrating a strong academic foundation complemented by practical experience in both academic and industry settings.