Wanyu LIN

• Assistant Professor, Department of Data Science and Artificial Intelligence and Department of Computing, The Hong Kong Polytechnic University  

Wanyu Lin is an Assistant Professor in the Department of Data Science and Artificial Intelligence and the Department of Computing at The Hong Kong Polytechnic University. She is serving as an Associate Editor for IEEE Transactions on Neural Networks and Learning Systems (TNNLS) and in Editorial Board of Memetic Computing. She is a member of ACM, IEEE. Wanyu’s research focuses on developing trustworthy deep-learning techniques to accelerate scientific simulations and the design of molecular and materials science. By combining cutting-edge AI methodologies with scientific rigor, her work addresses critical challenges in creating reliable, interpretable, and efficient AI systems that advance the discovery of novel molecules and materials. This innovative approach not only enhances the precision and efficiency of materials design but also bridges the gap between AI and real-world scientific applications. She is the recipient of 2022 CVPR Best Paper Finalist and 2025 PolyU Young Innovative Researcher Award.  

Toward Interpretable Deep Learning for Molecular and Materials Science