I'm an epidemiologist who loves turning health data into meaningful insights. Whether it's electronic health records, lab results, patient-reported, or omics data-- I enjoy connecting the dots! My research experience spans cancer, biomarker discovery, and aging.
🔍 Currently working on:
My doctoral thesis-- Decoding Multiple Myeloma Outcomes: A Population-Specific Analysis of Genome-Wide 5-Hydroxymethylcytosine in Circulating Cell-Free DNA
📌 My expertise:
Study designs & methodology: Observational studies (cohort, case-control), bias & confounding control, causal inference, sampling strategies, data integrity & processing, survey data collection
Analytics: Time-to-event analysis, applied machine learning, instrumental variable analysis, propensity score matching, mixed-method models, high-dimensional mediation analysis
Programming & computing: R, Python, SQL, Git/GitHub, cloud computing, high-performance computing
📖 View my publication: https://scholar.google.com/citations?user=kvsLMHgAAAAJ&hl=en
✉️ You can contact me at [email protected]