Jun Zhang

Jun Zhang is a seasoned data science leader and innovator with 20 years of experience in delivering advanced machine learning and AI solutions. Currently serving as the Director of Machine Learning Engineering for Fraud Risk Modeling at GEICO, Zhang has previously held significant roles including Vice President of Data Science and Machine Learning at Traceable by Harness and Chief Data Scientist at LexisNexis Risk Solutions. With a PhD in Computer Science from Iowa State University, Zhang has a strong foundation in algorithm design and has made substantial contributions to fraud prevention, risk management, and cybersecurity, while leading talented teams to develop industry-leading digital identity solutions.