I am currently working on developing a new generation of molecular dynamics simulation software that can be applied to various biological molecules.

I'm currently analyzing a new dataset and benchmarking the performance of various models on it.

My research focuses on developing next-generation density-aware machine learning force fields for molecular dynamics simulations.

My research focuses on developing new AI methods based on structural information and molecular dynamics for biological molecule interactions.

My research focuses on the intersection of computational biophysics, machine learning. Currently, I am developing a next-generation electrostatic potential platform tailored for biological macromolecules — with a strong emphasis on digital efficiency, scalable architecture, and physics-aware AI integration.

Laboratory Technology Administrator, Research Assistant, responsible for managing the laboratory's research infrastructure platform and providing technical support to team members. Research areas include high-performance artificial intelligence-assisted molecular dynamics simulation methods.