Summary
Yijun Tian is an applied scientist with a PhD in computer science and over eight years of experience advancing AI, holding 5+ years focused on research-grade ML and 50+ papers spanning LLMs, generative models, and graph ML. Now a founding member of AWS AI Lab, he drives post-training improvements to LLMs—distillation, reinforcement learning, and fine-tuning—to boost reasoning and knowledge integration in production systems. His work has earned awards and publications at top venues (ICLR, ICML, NeurIPS, ACL, EMNLP, KDD, WWW, AAAI), and he has built ML frameworks used at Amazon and AWS. Prior roles at Spotify, VIDA Research Center, and Tencent reflect a rare blend of academic rigor and product-focused engineering across content modeling, social computing, and deep learning. Based in the Bay Area, he combines a strong publication record with hands-on deployment experience, often translating novel research into scalable systems.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at New York University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Notre Dame
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Shandong University