Area of research
Statistics and Probability · Artificial Intelligence
Research interest
Research interests include Statistical Methods and Inference, Statistical Methods and Bayesian Inference, Bayesian Methods and Mixture Models, and Gaussian Processes and Bayesian Inference.
Genetic causal association between malnutrition, overweight and venous thromboembolism: a two-sample Mendelian randomisation study
Delving into female breast cancer: Distinct disease-specific survival outcomes between invasive lobular and ductal carcinomas revealed by propensity score matching
Preoperative Prediction of Perineural Invasion in Oesophageal Squamous Cell Carcinoma Based on CT Radiomics Nomogram: A Multicenter Study
Evaluating the Efficacy of EGFR-TKIs Combined With Radiotherapy in Advanced Lung Adenocarcinoma Patients With EGFR Mutation: A Retrospective Study
CAS-Climate: CAREER: A Unified Zero-Carbon-Driven Design Framework for Accelerating Power Grid Deep Decarbonization (ZERO-ACCELERATOR)
I-Corps: Translation Potential of a Deep Eutectic Solvent Technology for Critical Metal Recovery from Expired Batteries
Switchable Persistent Spin Helix Devices
Chiral Strain Engineering of Polar Semiconductors
I-Corps: Lignin-derived antimicrobials to control bacterial contamination in fuel ethanol fermentation
Scalable Manufacturing of Single Crystalline Halide Perovskite Film via Interface Engineering
Symmetry-protected spin dynamics in ferroelectric spin device
Van der Waals Halide Perovskite Photo-ferroelectric Synapse
RII Track-4: Elucidating Enzyme-Ionic Liquid Interactions to Enable Effective Lignin Valorization
SusChEM: Exploring Chalcohalide Split-Anion Perovskite Photovoltaics Materials
Modification of Soft Inorganic Thin Films through the use of van der Waals Epitaxial Strain
EAGER: Micro and Nanoscale Thin Film Pyroelectric Materials via Strain Engineering