Caleb Yu

/ about

I am an undergraduate student studying computer science and math at the University of Maryland, College Park. My research interests include machine learning and artificial intelligence. Currently, I am a Research Assistant under Dr. Xiaowei Xu, exploring large language models (LLMs) and their applications, including prompt engineering techniques and multi-agent systems.

/ experience

Sep. 2024 - Present

Research Assistant

University of Arkansas at Little Rock

Exploring large language models (LLMs) and their applications, including prompt engineering techniques and multi-agent systems.

May 2024 - Aug. 2024

Research Intern

National Center for Toxicological Research, Food and Drug Administration

Developed a random forest machine learning model using Python and scikit-learn to predict human sex hormone-binding globulin (hSHBG) binding affinity with chemicals, achieving a model accuracy of over 90%.
Curated chemicals from literature and the ChEMBL database and computed their molecular descriptors.
Used pandas to preprocess binding affinity data and extract features from over 700 molecular descriptors.
Conducted cross-validated grid searches for hyperparameter tuning to optimize model performance.
Visualized model performance and optimization results using Matplotlib, enabling clear communication of results and insights to other research scientists.