Ke Tian is an accomplished machine learning engineer and data scientist with extensive experience in cybersecurity and machine learning applications. Notable positions include a principal machine learning engineer at Palo Alto Networks, focusing on scalable frameworks and cybersecurity applications, and a data scientist at Microsoft, where work involved security investigations and user behavior analysis. Prior experience includes roles at RSA Security, Qualcomm, and Virginia Tech, where research encompassed hybrid machine learning models and Android security vulnerabilities. Currently, Ke Tian is a senior machine learning engineer at Pinterest and a software engineer at Meta, specializing in machine learning for advertising. Ke Tian holds a PhD in Computer Science from Virginia Polytechnic Institute and a BS in Computer and Information Systems Security from the University of Science and Technology of China.
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