Sixie Yu
About Sixie Yu
Sixie Yu is a Security Machine Learning Researcher currently employed at Stellar Cyber, where he develops machine learning models for security detection. He has a diverse background in machine learning and generative AI, with previous roles at PayPal and the Institute of Automation at the Chinese Academy of Sciences.
Current Role at Stellar Cyber
Currently, Sixie Yu serves as a Security Machine Learning Researcher at Stellar Cyber. In this role, Yu focuses on developing machine learning models specifically designed for security detection. This position commenced in 2024 and is based in San Jose, California, utilizing a hybrid work model.
Previous Experience at PayPal
Prior to joining Stellar Cyber, Sixie Yu worked as a Machine Learning Scientist at PayPal from 2022 to 2024. During this tenure, Yu contributed to various machine learning initiatives, enhancing the company's capabilities in data analysis and security.
Internship at Institute of Automation
Sixie Yu gained early experience as an intern at the Institute of Automation, Chinese Academy of Sciences, from 2014 to 2015. This internship lasted for 11 months and took place in Beijing, where Yu was exposed to foundational concepts in automation and machine learning.
Education and Advanced Studies
Sixie Yu has a robust educational background. Yu completed a Bachelor of Engineering in Control Engineering at Beijing Institute of Technology from 2010 to 2014. Following this, Yu earned a Master of Science in Computer Science from Vanderbilt University from 2015 to 2018. Yu further advanced studies by obtaining a PhD in Machine Learning and Game Theory from Washington University in St. Louis from 2018 to 2022.
Research Focus on Generative AI
In the current role and previous positions, Sixie Yu has worked on Generative AI projects related to security data. This includes involvement in Retrieval-Augmented Generation (RAG) and evaluation methods, contributing to the advancement of security technologies through innovative research.