Physician · Health care analytics
A physician studying health care analytics at Carnegie Mellon. I build tools for travel medicine and public health.
I want to make vaccination records easier to trust and use across clinics and borders.
A record should make clear what was given, which product and lot, and when. My experience in travel clinics and outbreak response has shaped my interest in a national vaccine registry, with reliable data exchange and clear governance.
Across these posts: clinical user of BMS HOSxP and EMR Soft records; as an analyst, ETL of hospital (HIS), MOPH 43-file and DDC surveillance data.
Guardrailed Thai disease-surveillance assistant for DDC with tool-calling over a PII-free data mart. A 753-turn authorized red-team cut attack success from ~25% to ~1% in-session; 99.8% pass on a 3,819-run regression benchmark.
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AI itinerary extraction and high-altitude risk assessment for travel medicine clinics. 84.9% altitude accuracy within ±100 m on text itineraries; 2nd Place, BRIDGE-AI Summit 2026.
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Country-clickable CDC Yellow Book guidance with multi-country trip planning.
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Facility-code navigator over ~174K MOPH-coded records across Thailand's 13 health regions, 77 provinces and 7,436 subdistricts. Runs in the browser with SQLite.
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A 3Blue1Brown-style Manim explainer on pooled testing: expected-value optimization, a recursive re-splitting idea toward the information limit, and Dorfman’s 1943 origins.
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Multi-class ensemble prediction (XGBoost/LightGBM) with engineered clinical features.
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English/Thai counseling tool that flags when a predicted period overlaps Hajj and gives the date to start delay medication, on one Hijri/Gregorian calendar. Runs entirely in the browser; health data stays on the device.
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Searchable reader for Thailand's Communicable Disease Act B.E. 2558, in Thai and English, with Thai and Arabic numerals interchangeable, dated announcements, and a bilingual Q&A assistant that cites its sources. Unofficial, educational.
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Core tools: Python, R, SQL and Stata.
Python
R
SQL
Stata
Pandas
NumPy
PyTorch
TensorFlow
Scikit-LearnXGBoost
LightGBM
YOLO
OpenCV
GPT
Claude
Gemini
GLM
Grok
Qwen
ThaiLLM
Typhoon
THaLLE
Tableau
Power BI
Matplotlib
Seaborn
Looker
QGIS
Google Cloud
Firebase
Huawei Cloud
ISC2 CC
Git
LANTA HPC
Linux
Anaconda
Jupyter
Arduino
vLLM
TOEFL iBT: 91/120
Duolingo English Test: 120/160Open to collaborations in health data initiatives, medical informatics, travel medicine, and public health research.
Based in Pittsburgh, PA. Actively seeking a Summer 2027 health care analytics internship anywhere in the United States. Recruiters: see the quick reference.
[email protected]
