Based in Bangkok, Thailand, I work in health care research with a focus on health data science and real-world evidence. 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.
My work centers on the curation and analysis of large longitudinal cohorts derived from routine clinical visits starting from 2010. I currently maintain real-world cohorts focused on hypertension and dementia, and previously worked on the development and use of an abdominal surgery data warehouse. These projects have contributed to multiple peer-reviewed publications, with further studies ongoing. To date, this has grown into collaboration with 37 researchers across 10 institutions in Thailand, Australia, Myanmar, and the United Kingdom.
On the technical side, I work primarily in Python with occasional use of R, with HPC clusters and job schedulers for population-scale registry data. In practice, this means turning raw clinical records into longitudinal datasets that hold up to the demands of observational research; replication, validation, and evidence generation.
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.
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.
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.
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.
In my second year of my MSc, I hosted my first journal club. The paper was on Mixed Effect Machine Learning, a framework for handling the correlated observations that show up constantly in clinical data, where the same patient appears in your dataset dozens of times.
I recently hosted a journal club discussion covering the paper “Assessing the replicability of RCTs in RWE emulations”. The presentation was based on the paper by Jeanette Köppe, Charlotte Micheloud, Stella Erdmann, Rachel Heyard and Leonhard Held, published in BMC Medical Research Methodology (2025). The resources for the Journal Club can be found here.
