Summary
Xiangyu Peng is a Senior Research Scientist specializing in human-centered AI with a PhD in Machine Learning from Georgia Tech, blending expertise in natural language generation, explainable AI, deep reinforcement learning, and game AI. With eight years of experience and roles spanning graduate research, industry internships at Microsoft and Salesforce, and current research leadership at Salesforce in Palo Alto, he translates cutting-edge research into product-relevant solutions. His work sits at the intersection of large language models and interactive systems, emphasizing interpretability and agent behavior in entertainment and real-world settings. Notably, his background in structural and civil engineering informs a methodical, systems-oriented approach to ML research and robust experimentation.
8 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree Civil Engineering, Bachelor’s Degree Civil Engineering at Shanghai Jiao Tong University
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Georgia Institute of Technology
Master's degree Structural Engineering, Master's degree Structural Engineering at Stanford University
Chinese, English, Korean