Welcome to Lily's Home Page

I am currently a Ph.D. candidate in Prof. Ying-Cheng Lai’s research group at Arizona State University. I expect to graduate in May 2026 and will continue as a Postdoctoral Researcher in Prof. Lai’s group at ASU starting Summer/Fall 2026. My research lies at the intersection of physics and machine learning, with particular interests in:

• AI for Science: Leveraging machine learning to discover novel physical phenomena.

• Science for AI: Incorporating physical insights to improve the development and interpretability of machine learning frameworks.

Physics Background:

I have published work in both quantum and classical physics. My Ph.D. research in quantum physics spans quantum control, quantum computing, quantum many-body systems, non-Hermitian physics, quantum optomechanical systems, Dirac materials, and quantum chaos. In classical physics, my recent work focuses on synchronization phenomena in disordered laser systems.

Machine Learning Background:

Applied reinforcement learning, convolutional neural networks, and foundational machine learning techniques to a range of problems in physics and engineering, with a focus on integrating data-driven methods with physical insight.

CV

L.-L. Ye's Github

L.-L. Ye's Google scholar 

L.-L. Ye's Research Gate

L.-L. Ye's LinkedIn

ORCID

Please feel free to contact me if you are interested in my research or need simulation codes.