Area of research
Statistics and Probability · Artificial Intelligence
Research interest
Research interests include Statistical Methods and Inference, Machine Learning in Healthcare, Advanced Causal Inference Techniques, and COVID-19 Clinical Research Studies.
Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program
Federated Learning in Healthcare: A Benchmark Comparison of Engineering and Statistical Approaches for Structured Data Analysis
Efficient Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality
Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data
Individual Data Protected Integrative Regression Analysis of High-Dimensional Heterogeneous Data