Area of research
Statistics and Probability · Artificial Intelligence
Research interest
Research interests include Advanced Causal Inference Techniques, Statistical Methods and Inference, Domain Adaptation and Few-Shot Learning, and COVID-19 Clinical Research Studies.
Instrumental Variables in Causal Inference and Machine Learning: A Survey
Federated causal inference in heterogeneous observational data
Large dimensional latent factor modeling with missing observations and applications to causal inference
Alpha-1 adrenergic receptor antagonists to prevent hyperinflammation and death from lower respiratory tract infection
The Association Between Alpha-1 Adrenergic Receptor Antagonists and In-Hospital Mortality From COVID-19
Ten Rules for Conducting Retrospective Pharmacoepidemiological Analyses: Example COVID-19 Study
Preventing cytokine storm syndrome in COVID-19 using α-1 adrenergic receptor antagonists
Stable Prediction across Unknown Environments