![]() ![]() My research interests center around building robust, reliable and explainable causal machine learning methods to address challenging problems in various real-world scenarios, such as 1) causal learning that aims to build underlying causal models and develop consistent machine learning techniques to address downstream tasks 2) causal inference that achieves accurate treatment effect estimation by balancing confounding factors based on statistical or modern machine learning techniques 3) developing reinforcement learning-based algorithms for various decision-making scenarios such as healthcare etc. Key words: Causal inference, Machine learning Jing Li, MD, PhD is an Associate Professor of Gynecologic Oncology at the Sun Yat-sen Memorial Hospital, Sun Yat-sen University in Guangzhou, China. I also received a Bachelor’s degree in Statistics from Wuhan University in 2017. I am an applied mathematician by training and am currently an assistant professor in the Department of Mathematics at California State University Northridge. she is very knowledgeable of her field of medicine, shes very thorough w/her patient-examinations, she cares about her patients welfare. Previously, I received my PhD in Computer Science from Peking University advised by Dr. 2015 Aug 13 Transient Formation of Water-Conducting States in Membrane Transporters Jing Li, MD> Proceedings of the National Academy of Sciences. Miguel Hernán in the CAUSALab and the Department of Epidemiology at Harvard T.H.Chan School of Public Health. Currently, I am a postdoctoral research fellow advised by Dr.
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