So, I just found out that the photo I share on Unsplash was used as the cover image for this book . Considering it was published as paperback print in October 2023, I guess I am now a published photographer.
I’m delighted to announce that my latest manuscript has been accepted for publication in JMIR Formative Research. This marks the third paper in my career, but it holds a special place as my first research project as a principal investigator. Looking back, I recall the moments of uncertainty at every stage of the experiment and the struggle to write each paragraph.
Based in Bangkok of 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 . This work has contributed to multiple peer-reviewed publications, with further studies ongoing.
In terms of implementation, I primarily work in Python, with occasional use of R. My experience includes medical data wrangling for secondary research, longitudinal cohort construction, and the integration of sociodemographic information into screening algorithms and clinical decision support settings.
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.