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.

Laboratory Technology Administrator, Intern, 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.

I'm a Master's candidate in Big Data Technology and Engineering at Zhejiang University, majoring in drug discovery and molecular dynamics simulation.

I am an undergraduate student from Tongji University.My research focuses on modeling how electrostatic embedding influences the prediction of molecular and atomic properties.

Yiquan Wang is an undergraduate student at Xinjiang University and a joint-training scholar st Shezhen X-Institute. His research focuses on AI for Science, at the intersection of deep learning, computational biology, and bioinformatics. He is dedicated to developing advanced computational models to investigate complex biological systems, with research topics spanning protein function prediction, biological sequence representation, protein design optimization, and protein dynamics.