Jingyang Zhang is a Senior Research Scientist based in San Francisco with five years of AI research experience and a PhD in Electrical and Computer Engineering from Duke. He focuses on practical safety and robustness for large language models—designing SFT/RL-based guardrails, agent red-teaming, and byte-based multimodal LLM pretraining. Jingyang moves fluidly between research and product-ready systems, having shipped model and prompt-action defenses at Virtue AI and earlier led byte-level architecture work at Sciforium. Trained at Tsinghua and Duke, he blends rigorous electrical engineering foundations with hands-on ML engineering, and is known for approaching model safety with attacker-style red-teaming rather than only defensive theory.
5 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Duke University
Bachelor of Engineering - BE, Electrical and Electronics Engineering, Bachelor of Engineering - BE, Electrical and Electronics Engineering at Tsinghua University
一个快速使用chatGPT ,GPT3 等 openai API 的平台。支持自定义初始 prompt、对话窗口分享。(仅限个人使用)
Contributions:53 pushes, 1 branch in 1 year 4 months
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