Jiawei (Joe) Zhou is an Assistant Professor of Data Science in the Department of Applied Mathematics and Statistics and the Department of Computer Science at Stony Brook University. He is also a core faculty member of the AI Innovation Institute (AI3) and affiliated with the Institute for Advanced Computational Science (IACS). Previously he was a research assistant professor at the Toyota Technological Institute at Chicago (TTIC), and obtained a PhD degree in computer science from Harvard University in 2023, advised by Alexander (Sasha) Rush. He also obtained an MA degree in Statistics from Harvard University and a BS degree in EE from Tsinghua University. Zhou’s expertise spans in natural language processing (NLP) and machine learning (ML), especially generative models with Transformers-based large language models (LLMs) and multimodal models such as vision language models (VLMs). His work encompasses foundational technical research in generative AI, including LLM decoding algorithms, model development, and alignment, alongside broader applications of trustworthy and efficient AI across diverse data sources and use cases. His early contributions to executable semantic parsing for efficient conversation systems were recognized with an ACL’22 Outstanding Paper Award. He also received the Best Student Paper at IEEE ASRU’25, and the Amazon Research Award 2025 on efficient long-horizon agentic reasoning. He maintains broad research interests in NLP and related areas, such as evaluation, efficiency, knowledge representation, advanced reasoning and reinforcement learning, and relevant techniques in multimodal AI.