Welcome to 

Ling-Wei Kong's Homepage

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 Award for my dissertation. 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).


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My Email: ling-wei.kong@cornell.edu

I'm always eager to discuss research and share simulation codes. Don't hesitate to reach out!

News

2024.5        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 accepted by Nature Communications.

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.