About me

I am Tian Zhu (朱天 in Chinese), a master candidate at AI for Science (AI4S) group, Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS) under the supervision of Professor Dongbo Bu and Associate Professor Haicang Zhang. I received my bachelor of information & computing science (a.k.a. Computational Mathematics) degree from Department of Mathematics and Statistics, Beijing Institute of Technology (BIT).

News!!! Currently, I am seeking a PhD position in the field of AI for Science, with a focus on protein and small molecule research or on deep probabilistic generative models.

My research focuses on the development and application of advanced deep learning techniques, including probabilistic generative models, geometric deep learning methods and reinforcement learning. I am particularly passionate about leveraging AI for drug discovery and design, with an emphasis on small molecules and proteins. My goal is to create innovative deep-learning methods to address complex scientific challenges in biology and chemistry.

My research topics include:

1. Deep Probabilistic Generative Model for Drug (Protein and Molecule) Design
2. The Theory of Deep Probabilistic Generative Model
3. Geometric Deep Learning