About Me

Hi, I’m Zhichun Guo! I am currently a postdoctoral researcher at Baker Lab at the University of Washington. In Fall 2025, I will be joining the Department of Computer Science at Emory University as a tenure-track assistant professor. I received my Ph.D. from the Department of Computer Science and Engineering at the University of Notre Dame in May 2024, where I was advised by Prof. Nitesh Chawla (ACM/IEEE/AAAI Fellow). Before that, I earned my bachelor’s degree in Computer Science from Fudan University.

My research interests span artificial intelligence, machine learning, and data science. During my Ph.D., I focused on enhancing graph neural networks for real-world applications, particularly in chemistry and link prediction tasks. Recently, I’ve begun exploring large language models (LLMs) and machine learning models for broader scientific applications, such as bioinformatics.

[Prospective PhD Students and Interns] I am actively seeking highly-motivated Ph.D. students and interns to work on machine learning and AI4Science problems. If you are interested in working with me, please send me an email at zcguo[at]uw[dot]edu with your CV, transcripts, and a brief introduction of your research interests and experience.

News

• 07/2024: Excited to start my PostDoc at Baker Lab@UW.
• 05/2024: Thrilled to receive my Ph.D. degree from CS@Notre Dame. Deeply appreciate the acknowledgement!
• 03/2024: Thrilled to pass my Ph.D. Defense.
• 03/2024: Delighted to give an invited talk at CS@Michigan State University.
• 02/2024: Delighted to give an invited talk at CS@UT Dallas.
• 02/2024: Delighted to give an invited talk at CS@Virginia Tech.
• 09/2023: One paper accepted by NeurIPS 2023 Datasets and Benchmarks Track.