I am a Schmidt AI in Science Postdoctoral Fellow at Cornell University working in Prof. Andrew M Hein's lab. I am trying to merge insights and methods from nonlinear dynamics, machine learning, physics, and complex systems to confront ecology's pressing challenges.
I received my PhD in 2023 from Prof. Ying-Cheng Lai's research group on chaos at Arizona State University, where I received the Dean's Dissertation Award. During my PhD, I focused on applying machine learning techniques (such as reservoir computing) to problems in the fields of nonlinear dynamics and complex systems, and vice versa, studying problems in machine learning from a dynamic point of view (such as multistability and basin structure in RNN).
My Email: ling-wei.kong@cornell.edu
I'm always eager to discuss research and share simulation code. Don't hesitate to reach out!
News
2024.6 Our new paper, "Reservoir-computing based associative memory and itinerancy for complex dynamical attractors" by L.-W. Kong, G. Brewer, and Y.-C. Lai has been published in Nature Communications. It is featured as the editor’s highlight in AI and machine learning and Applied physics and mathematics, and listed in the special collection of Neuromorphic Hardware and Computing.
2023.12 Our new paper, "Effects of growth feedback on gene circuits: A dynamical understanding" by L.-W. Kong, W. Shi, X.-J. Tian, and Y.-C. Lai has been accepted by eLife.
Created in 2023.10.