Liangyuan Hu
Country:
United States
Company:
Rutgers School of Public Health
Liangyuan Hu, Ph.D., is an associate professor at Rutgers School of Public Health. Formerly, she held a position at Mount Sinai School of Medicine. Her research centers on statistical methods for causal inference, Bayesian inference, and missing data, applied to fields such as cancer, HIV/AIDS, and cardiovascular diseases. Notably, Dr. Hu and her team developed a continuous-time marginal structural model to estimate treatment effects on mortality, particularly in patients with HIV and TB co-infections. This research, recognized with an Outstanding Statistical Application Award, aids in emulating clinical trials and comparing results with randomized controlled trials. Funded by PCORI and NIH, she's leading a team developing Bayesian machine learning-based methods for improved comparative effectiveness research. The team's efforts include open-source software packages like CIMTx, SAMTx, and riAFTBART on CRAN for wider use in the research community.