I was born in Dacheng County, Langfang City, Hebei Province. In 2018, I was admitted to School of Pharmacy at Hebei Medical University through the National College Entrance Examination, majoring in Pharmaceutical Analysis.
I maintained the highest GPA (92.59/100) in my class throughout my undergraduate studies, which earned me a recommendation for postgraduate studies at School of Pharmacy at East China University of Science and Technology. It was during my undergraduate years that I developed a deep interest in Traditional Chinese Medicine (TCM), which solidified my commitment to pursuing research in this field.
My research interest lies in leveraging artificial intelligence and multi-omics data to identify novel therapeutic targets for diseases and to discover active compounds from TCM. Under the supervision of Professor Yun Tang, my current research focuses on two TCM-related projects: first, TCnet: A Novel Strategy to Predict Target Combination of Alzheimer’s Disease via Network-Based Methods; and second, KG-CNNDTI: A Knowledge Graph-Enhanced Prediction Model for Drug-Target Interactions and Application in Virtual Screening of Natural Products against Alzheimer’s Disease.
I am passionate about integrating traditional Chinese philosophy with modern technology to advance drug discovery. For instance, in my first project, I drew inspiration from the strategy “divide and conquer, defeat in detail” from Sun Tzu’s The Art of War to construct disease modules and a scoring function for target combination. I firmly believe that continuous reflection and bold experimentation are key to making meaningful progress in scientific research.