Support teaching, research, and patient care.
I am a medical doctor and clinical epidemiologist, presently serving as a scientist at Stanford University. My work centers on precision medicine, employing digital health, computer science, and artificial intelligence (AI) techniques. I am dedicated to integrating and applying these methodologies within the medical field to generate novel insights and deepen understanding of health-related issues. My focus also extends to tackling health disparities, with the ultimate goal of enhancing patient care and reducing disease impact.
I. Leading and development of Heart Failure management mobile applicationII. Partnering with stakeholders including patient panel, healthcare professionals, software engineers and other network collaborators for toolkit curation III. Creating patient-focused educational content through text and designing interactive animation videos to include in the application
Defining computational phenotypes of positive and negative response to complex arrhythmia ablation. This involves data mining, assisting with natural language processing, data analysis, drafting abstracts and manuscripts
I. Identifying genetic and non-genetic determinants of cardiometabolic diseases.II. Leading large-scale genetic association studies.III. Conducting multi-trait analysis with correlated traits.IV. Developing and validating polygenic risk scores.V. Integrating multi-omics data for comprehensive analyses.VI. Employing Mendelian randomization to enhance our grasp of genetic and environmental contributors to cardiometabolic diseases.