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Uncovering the hidden structure within vast mountains of data is key to unlocking the full potential of AI systems across industries.columbus todayAs a leading expert on large-scale language models and machine learning, Yuejie Chi, the Charles C. Diley and Dorothea S. Diley Professor of Statistics and Data Science at Yale University, specializes in extracting valuable information from massive datasets. Her research has led to breakthroughs in fields such as medical imaging and materials science by identifying hidden structures in data that make AI systems more efficient and capable.
why is it important
Chi’s research shows that a deeper theoretical understanding of AI systems can help unlock their full potential. Her research has enabled advances in fields such as medical image processing by identifying “hidden structures” within complex datasets, and her techniques have allowed the production of high-quality images using fewer computational resources. This can potentially make scanning faster and more comfortable for patients.
detail
Chi’s expertise lies in separating signal from noise in large datasets and understanding the complexities of data collection. This has allowed us to improve algorithms in areas such as super-resolution fluorescence microscopy and phase retrieval imaging. She is also working on leveraging diffusion models to dramatically accelerate materials imaging, a time-consuming process. Additionally, Chi is excited about reinforcement learning efforts focused on improving the efficiency of RL algorithms across a variety of contexts.
- Mr. Qi joined the Yale faculty in 2025.
- She is currently working on an entry-level course on reinforcement learning that will be offered next semester.
players
Yuejie Qi
Charles C. and Dorothea S. Dilley are professors of statistics and data science in the School of Humanities and Sciences and professors of computer science in the Yale School of Engineering. She is a leading expert on large-scale language models and machine learning.
Nationwide Children’s Hospital
The Columbus, Ohio, hospital provided Chi with a database of more than 3,000 patient sleep study sessions. This database was valuable for training large-scale basic models.
U.S. Air Force Research Institute
Chi is collaborating with researchers at the U.S. Air Force Research Laboratory on leveraging diffusion models for materials imaging.
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what they are saying
“When dealing with efficiency in the context of AI, constructs are ubiquitous and can appear in many forms and locations across data, models, and systems.”
—Yuejie Chi, Charles C., Dorothea S. Dilley Professor of Statistics and Data Science, Yale University
what’s next
Chi will be teaching an entry-level course on reinforcement learning at Yale University next semester.
Take-out
Chi’s research shows how a deeper theoretical understanding of AI systems can unlock their full potential and lead to breakthroughs in fields such as medical imaging and materials science by identifying hidden structures in complex datasets.
