āļøAbout Me
Yingyi Luo is a PhD candidate in Electrical and Computer Engineering at the University of Illinois Chicago, specializing in machine learning, AI agents, and signal processing. Her research focuses on developing multi-agent large language model platforms and applying advanced neural network techniques for scientific and financial applications. She has contributed to projects spanning neuroscience, material science, and financial AI, with several publications in IEEE conferences and journals.
- Artificial Intelligence and Computer Engineeringg
- Signal Processing and Image Processing
- Large Langurage Models
PhD Electrical and Computer Engineering
University of Illinois Chicago (UIC)
M.Sc. Electrical and Computer Engineering
University of Illinois Chicago (UIC)
Bachelor of Engineering
Northeastern University, Shenyang, China
My research focuses on machine learning, signal processing, and AI agents, with applications spanning neuroscience, material science, and financial analysis
Some highlights include developing a multi-agent large language model platform for financial workflows, designing DCT-based neural networks for signal reconstruction at Fermilab, and creating models to predict AlN sputtering parameters for material science applications.
I am passionate about building AI systems that are not only technically robust but also impactful in real-world domains. Iām always open to collaborations and discussions around AI, data science, and quantitative research š
