HOBI Grand Rounds presents Liangyuan Hu, PhD

Please join us in for HOBI Grand Rounds seminar "Integrating Bayesian Causal Inference and Machine Learning to Confront Real-World Data Obstacles" presented by Liangyuan Hu, PhD, Rutgers School of Public Health.

Registration information for in-person attendees will be added and sent out closer to the event.

Register via Zoom

About the Speaker

Dr. Liangyuan Hu is an Associate Professor of Biostatistics at Rutgers School of Public Health. She earned her PhD in Biostatistics from Brown University in 2015. She is currently the PI of multiple methodology grants, and is actively involved in the development of statistical methodology at the crossroads of causal inference and machine learning. Dr. Hu is the Associate Editor for AOAS, JRSSC and Biometrics and has a keen interest in the innovative application of cutting-edge statistical methods across a broad spectrum of biomedical research domains. In 2019, Dr. Hu received the Outstanding Statistical Application Award from the American Statistical Association.