Publications:

Junzhe Shao, Mingzhang Yin, Xiaoxuan Cai, Linda Valeri “Generalized Synthetic Control Method with State-space Model”, Short paper accepted to NeurIPS 2022 Workshop on Causality for Real-world Impact [PDF]

Mona Alotaibi, Junzhe Shao, Michael W. Pauciulo, William C. Nichols, Anna R. Hemnes, Atul Malhotra, Nick H. Kim et al. ”Metabolomic Profiles Differentiate Scleroderma-PAH From Idiopathic PAH and Correspond With Worsened Functional Capacity”, CHEST 2022 [PDF]

Research Experience

Synthetic Control Method:

I am working on a generalized synthetic control method with state-space model under the direct guidance of Dr. Linda Valeri, Dr. Mingzhang Yin and advices from Dr. David Blei. We propose a generalized synthetic control method with time-varying weights based on state-space model (GSC-SSM), allowing for a more flexible and accurate construction of counterfactual series.

From classic synthetic control to our new method: Results on German reunification data:

Covariates Adaptive Design

Under the guidance of Dr. Jingshen Wang, I have also conducted research in sequential randomization under a high-dimensional setting. We investigated the theoretical properties of statistical methods to achieve covariates balance for randomized clinical trials and proposed a new setting for Pairwise Sequential Randomization with many covariates. We further showed better efficiency of this sequential randomization.

Other Research Experience

I was a visiting student in UCSD during my third academic year under the supervision of Prof. Mohit Jain and Dr. Tao Long, working on the topic of Integrative High-Throughput Metabolomics Analysis of Pulmonary Arterial Hypertension Phenotypes and Outcomes.

In Peking University, I conducted my research on the topic of Image Based Age and Life Expectancy Prediction of C.elegans under Professor Jingdong Han’s supervision. In this project, I developed a deep learning model based on inception-ResNet-V2 for the image processing of microscopic pictures of Caenorhabditis elegans to predict their mortality and frailty.