Assistant Professor, Ph.D., 2023
Harvard University: Natural Language Processing, Language Models, Generative Models,
Multimodal AI, Machine Learning
Jiawei earned his Ph.D in Computer Science from Harvard University, affiliated with
the Harvard/Cornell NLP group under the supervision of Professor Alexander (Sasha)
Rush. He holds an M.A. in Statistics from Harvard University, and a B.S. in Electronic
Engineering from Tsinghua University. Prior to joining Stony Brook University in 2024,
Dr. Zhou was a Research Assistant Professor in Toyota Technological Institute at Chicago
(TTIC), situated in the University of Chicago.
Jiawei’s research mainly lies in the areas of Natural Language Processing (NLP) and
Machine Learning (ML) applications. He has worked on a wide range of core NLP tasks
and methodologies such as sequence to sequence techniques for text generations and
sequence to graph generations for semantic understanding. His recent work centers
around broad language applications and generative AI, where language includes natural
language but can also be considered as any sequential information such as code, serialized
visual representations, embodied actions, etc. He is motivated to better understand
and improve state-of-the-art deep learning models such as (Large) Language Models
(LLMs) and multimodal models, on a variety of aspects such as efficiency, knowledge
augmentation, memorization, factualness, security, fair evaluation, reasoning and
planning.
Office: Math Tower, 1-101