Qing Li joined Weill Cornell Medical College and the Department of Cardiovascular Sciences at Houston Methodist as a Postdoctoral Fellow, working with Prof. Guangyu Wang. She develops computational models and big data analytics to resolve complex biological problems, especially in single-cell dynamics/spatial biology and multimodality pathology. Prior to this, she completed a one-year postdoctoral fellowship at the Department of Computer Science and Engineering, the Chinese University of Hong Kong (CUHK), under the mentorship of Prof. Yu Li. She also spent one year as a research intern at the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CAS), supervised by Prof. Chenglin Liu. She obtained her Ph.D. in Computer Science from the Chongqing Institute of Green and Intelligent Technology, CAS (jointly with CQUPT) in 2023. She earned her Master’s degree in Computer Science from the University of Chinese Academy of Sciences (UCAS) in 2019. She received her Bachelor’s degree from Sichuan Normal University in 2016.

Research Interests: AI for Science, Computational Biology, Big Data Analysis, and Evolutionary Computation. She is open to discussions and collaborations.

Selected Publications

• Progress and Opportunities of Foundation Models in Bioinformatics. Qing Li, Zhihang Hu, Yixuan Wang, Lei Li, Yimin Fan, Irwin King, Gengjie Jia, Sheng Wang, Le Song^#, Yu Li^#. Briefings in Bioinformatics, 25(6):bbae548, 2024. Full text

• Developing ChatGPT for Biology and Medicine: A Complete Review of Biomedical Question Answering. Qing Li^*, Lei Li^*, Yu Li^#. Biophysics Reports, 10(3):152-171, 2024. Full text

• Adjusted Stochastic Gradient Descent for Latent Factor Analysis. Qing Li, Diwen Xiong, Mingsheng Shang^#. Information Sciences, 588:196-213, 2022. Full text]

• BALFA: A Brain Storm Optimization-based Adaptive Latent Factor Analysis Model. Qing Li, Mingsheng Shang^#. Information Sciences, 578:913-929, 2021. Full text

Patents

• An Alzheimer’s disease detection device based on support vector machines. Nengfeng Zhang, Qing Li, Xin Luo. CN112155550A, 2021.