Industry
Clinical data scientist. M.D. candidate. Expected graduation April 2027.
Home keeps the academic record. This page is for hybrid AI-and-healthcare roles.
I am a clinical data scientist and M.D. candidate (Chulalongkorn University). Expected graduation April 2027. I build machine-learning subtypes from cognitive scores and biomarkers. Public records include the AAN, WCN, and ECNP MoCA abstracts, a first-author Molecular Cancer Research paper, and a corresponding-author IJID cohort study. Interested in a hybrid AI-and-healthcare role on a physician-data scientist path: clinical AI, digital biomarkers, or RWE, in Bangkok, Singapore, or remote, from mid-2027.
Industry experience
Data Scientist, The Gang Technology Co., Ltd., Bangkok, Thailand. October 2022 to December 2024. Data science consult for the Bureau of Epidemiology, Ministry of Public Health: the Thailand COVID-19 vaccine effectiveness project.
- Roles: part-time Data Scientist, October 2022 to December 2022. Data Scientist IV, December 2022 to September 2023. Part-time Data Scientist, September 2023 to December 2024, during medical study at Chulalongkorn University.
- Designed and ran a 1:4 matched case-control study (n=134,135; severe cases n=26,827) from a national COVID-19 dataset of more than 15 million records.
- Estimated vaccine efficacy with conditional logistic regression: univariate, multivariate, and stratified models. Tested more than 40 matched case-control prototypes with different match conditions, outcomes, and exposures.
- The odds of a severe outcome approximately halved with each added vaccine dose. Efficacy peaked 1 to 2 months after the latest dose. This analysis helped set the national COVID-19 booster-interval policy.
- Built the statistical analysis pipeline in Python (Pandas, Statsmodels, Lifelines): case-control matching, model fits, stratification, and forest-plot reports.
- Ran a retrospective cohort study (n=138,264 of 156,574 screened) that compared a one-fifth-dose intradermal ChAdOx1 booster with intramuscular dosing (Kaplan-Meier and Cox models). The study found noninferior protection, adjusted HR 0.88, 95% CI 0.76 to 1.02. Last and corresponding author, International Journal of Infectious Diseases, 2024.
- Trained Ministry of Public Health staff on Python and vaccine-efficacy analysis.
Skills
Python. Unsupervised ML (Louvain, Leiden). Survival and longitudinal analysis (KM, Cox, CTMC). RFECV and SHAP. NumPyro. U-Net. ComBat and CovBat. scikit-learn. Optuna and MLflow. Streamlit.
Route
Academic records go to Publications. Industry roles: email me@dhupbh.com. One-page industry CV: /cv-industry.pdf.
Contact
- Contact: me@dhupbh.com
- ORCID: 0000-0003-1984-1996
- Open to: PhD or postdoc talks, cohort collaborations, and clinical data-science roles.
- Languages: Thai (Native). English (Fluent).
- Academic records go to Publications. Industry roles go to Industry.