Haolin Chen

Experienced AI Researcher spearheading the development of cutting-edge agentic systems and reinforcement learning (RL) frameworks. Previously a Senior Applied Scientist at Salesforce AI Research, Haolin led high-impact projects including LaTRO (foundational RL-based reasoning), Webscale-RL for massive-scale data synthesis, and the xLAM series of agentic LLMs. His technical expertise spans the entire LLM lifecycle—from pre-training to hierarchical planning—and includes the development of CoDA, a diffusion language model for coding. A prolific researcher with 15+ publications in venues like NeurIPS and ICLR, Haolin holds a PhD in Applied Mathematics from UC Davis, specializing in the mathematical foundations of machine learning and tensor decomposition.