Pianist turned clinical researcher and data scientist with a background in medical biology and clinical research. Transitioned from medical school preparation into data science through a strong interest in analyzing complex healthcare data using modern analytical workflows. Lover of piano, Pokémon, puzzles, and Pocky sticks.
Master's in Data Science: Completed in 2025. Covered machine learning, statistics, natural language processing, algorithms, and data management. GPA: 4.0
Clinical Research and Publication: Clinical trial management, bio-specimen handling (skin and blood biopsy), and contributions to publication workflows in academic research settings.
Data Analytics and Machine Learning: Building data pipelines, visualizations, and machine learning models for structured and unstructured data. Experience includes supervised learning, clustering methods, and NLP-based analysis of real-world datasets. Growing interest in exploring cutting-edge techniques in computer-human interaction and data management.
- "Aphasia and the risk of potentially inappropriate psychotropic prescribing after stroke” - ongoing manuscript
- Based on repository work done here
- "scRNA-seq of human vitiligo reveals complex networks of subclinical immune activation and a role for CCR5 in Treg function" - Science Translational Medicine
- "Targeted proteomics and spectral flow cytometry analysis of cutaneous lupus erythematosus" - Journal of Investigative Dermatology
