I am a data science lecturer at the Department of Clinical Epidemiology and Biostatistics of the University of Mahidol. I obtained Ph.D. in Biomedical engineer from Mahidol University in 2022. Before that, I obtained M.D. from Ramathibodi hospital, Mahidol University in 2018.

Interested: Uncertainty quantification. Network. Complex system. Dynamical system. Informed ML. Symbolic AI.

Publications

Google Scholar

Teaching

Ph.D. & M.Sc. in Data Science for Healthcare and Clinical Informatics

• Mathematic for machine learning: Calculus, Linear Algebra
• Image processing - Materials
• Introduction to Signal processing
• Machine learning: Explainable AI, Uncertainty Quantification, OOD Generalization, …

M.Sc. Program in Medical Physics

• Basic programming for medical physicists: Python - Materials
• Self study for medical physicists - Materials

Experience

• 2022 - Present: Lecturer
  • Program in Data Science for Healthcare and Clinical Informatics, Department of Clinical Epidemiology & Biostatistics, Faculty of Medicine, Ramathibodi Hospital, Mahidol University
  • Program in Medical Physics Department of Diagnostic and Therapeutic Radiology, Division of Radiation Oncology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University
• 2024 - Present: Subcommittee
  • Big Data Utilization, Social Security Office, Thailand
• 2023-2024: (parttime) Software developer at invitrace company limited
  • Prototyping system according to HL7 FHIR standard
• 2022-2023: (parttime) Data scientist at Popmed limited
  • Deep learning for food classification using represenetation learning
• 2018-2022: Research Assistant at BCI lab, Mahidol University
  • ECG classification - Python version, Julia version

Awards

• AI Thailand hackathon 2024 Honorable Mention
• Botnoi HACKFEST 2023 hackathon final round
• Cybathlon 2020: 2nd place in BCI racing game
• Cybathlon 2019 4th place in BCI racing game