Developing machine learning and bioinformatics pipelines to identify biomarkers for predicting treatment response in inflammatory bowel disease, while investigating the biological mechanisms and molecular pathways underlying heterogeneous patient outcomes.

Gained broad research experience spanning single-cell multi-omics, spatial transcriptomics, and circulomics, encompassing both wet lab library preparation and dry lab analysis. Contributed to pipeline development, benchmarking studies, and the computational analysis and biological interpretation of high-dimensional omics datasets.