Ryan Li is currently a Teaching Assistant at Stanford University, involved in courses including Deep Learning for Computer Vision and Natural Language Processing. As a Graduate Student Researcher, Ryan focuses on LLM Post Training and Preference Tuning. Previous experience includes internships at Citadel Securities, where Ryan contributed to the Real-Time Trading platform, Splunk, designing data ingestion pipelines, and Meta, developing a multi-head model for natural language processing. Ryan also worked as a Research Assistant at the University of Washington and completed internships at Insgeek. Ryan holds a Bachelor of Science in Computer Science from the University of Washington and is pursuing a Master’s degree in Computer Science at Stanford University.
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