Htun Teza
Dentist by training, health-data researcher by practice.
I work with real-world clinical data at the Department of Clinical Epidemiology and Biostatistics, Ramathibodi Hospital, Mahidol University in Bangkok: building longitudinal cohorts from electronic medical records and studying what they can and cannot reliably tell us.
More about meHealth
Six years of dental medicine in Yangon, then a house officer’s year learning how a clinic actually writes things down.
Data
Real-world cohorts built from electronic medical records in Bangkok. Non-communicable diseases, and the biases that hide in fragmented records.
Now
- 2021 - Present
Graduate Research Assistant source
Mahidol University
Affiliated with the Data Science and Clinical Informatics division, Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital.
My work focuses on transforming routinely collected electronic medical records into research-ready datasets for longitudinal analysis. I contribute to the CEB Data Warehouse, with primary responsibility for disease-focused cohorts in hypertension and dementia, supporting epidemiological and clinical research using real-world data.
Before
- 2019 - 2021
Graduate Student Researcher source
Mahidol University
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Conducted postgraduate research on severe periodontitis in the Thai population under the supervision of Ammarin Thakkinstian and Anuchate Pattanateepapon.
The work examined factors associated with disease development and involved the development of multiple screening models using statistical and machine-learning classification approaches.
- 2019 - 2021 Master of Science in Data Science for Healthcare source Mahidol University
- 2018
House Officer source
University of Dental Medicine Yangon
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Completed a one-year clinical training program at the university-affiliated hospital.
Clincal rotations across multiple dental and oral health specialties, including orthodontics, periodontology, prosthodontics, oral medicine, and community dentistry were undergone.
2 earlier
- 2018
Undergraduate Research Assistant
University of Dental Medicine Yangon
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Assisted faculty members and postgraduate researchers in data collection and data entry for projects within the Department of Preventive and Community Dentistry.
It was a great opportunity for gaining early exposure to population-based research and applied health data work.
- 2012 - 2019 Bachelor of Dental Surgery source University of Dental Medicine Yangon
What I study
My primary interest lies in secondary data research: understanding when, why, and how routinely collected clinical data, particularly electronic medical records, can be responsibly reused to answer epidemiological and clinical questions. At Ramathibodi Hospital in Bangkok those records, from 2010 onwards, have been turned into longitudinal cohorts for hypertension, dementia and abdominal surgery, and I maintain them so they can support real-world evidence. The records are fragmented and incomplete; patients are treated elsewhere, drop out, or return years later, and those gaps can bias the conclusions. That is where my questions sit.electronic medical records, real world data, data observability, biases inherent or introduced through data integration, imputation for missing data in real world data, secondary data analysis, epidemiology, risk prediction models.
Working on
- CEB Data Warehouse's Hypertension ThemeData Manager
- CEB Data Warehouse's Dementia ThemeData Manager
- Development of multi-center cohort for hypertensive patientsData Manager
Recent output
Cited — times across — indexed works, h-index — (OpenAlex).
To date, this has grown into collaboration with 37 researchers across 10 institutions in Thailand, Myanmar, Australia, and the United Kingdom.
- 2026 Associations between PM2.5 Exposure and Head & Neck Cancer and Dementia (in association with The Dementia Association of Thailand) 42nd Royal College of Physicians of Thailand Annual Meeting 2026 — Pattaya, Thailand
- 2026 Incidence and Prognosis of Apparent Treatment-Resistant Hypertension: A Multi-State Analysis Using Real-World Evidence Clinical Hypertension
- 2025 Factors Associated with New-Onset Atrial Fibrillation in Thai Adults with Hypertension American Journal of Hypertension
- 2025 Uncertainty Aware Approach for Multiple Imputation Using Conventional and Machine Learning Models: A Real-World Data Study Journal of Big Data
Writes
- From Obsidian Knowledge Graph to Delegated Librarian
- The Duck, the Data, and the Sceptic: Eight Years of Learning to Ask Better Questions
- Assessing the replicability of RCTs in RWE emulations (Journal Club)
A note in the margin
Two voices, one line down the middle. The line is the argument: most of what I do is deciding which side a thing belongs on, and being honest when it belongs on neither.