🎓 Researcher | AI & Data Science Enthusiast | Policy Innovator | High School Student
I work at the intersection of healthcare, data science, and technology, focusing on using AI and scalable software solutions to improve clinical outcomes, streamline health policy research, and develop innovative tools for medical and scientific applications.
- 🏥 Healthcare Research: Investigating UCEP (Universal Coverage for Emergency Patients) policy impact, trauma care financing models, and cost-effectiveness in Thai healthcare.
- 🧠 Medical AI: Developing deep learning pipelines for: bone fracture detection
- Breast lesion classification & localization (CNNs, ResNet, EfficientNet)
- 🧪 Hackathon Projects:
- Automated drug dispenser machine for IV medications.
- 🎖️Past experiences
- 🥉Honorable Mention: General knowledge quiz competition in medicine and health science in MEDSWU EduFest, 3rd Finalist
- 🥈Thailand English Level Evaluation Test (TESET 2024)
- Hackerank basics python certificate.
- Programming & Data: Python (Pandas, NumPy, Scikit-learn), SQL (PostgreSQL), MATLAB
- AI/ML: PyTorch, TensorFlow, CNNs (ResNet, EfficientNet), Grad-CAM explainability
- Visualization: Matplotlib, Seaborn, Plotly
- Tools & Infra: WSL, Docker, Jupyter, GitHub Actions
- Health Data: DICOM (medical imaging), SPSS, CSV analytics
- 🖼 Artificial intelligence for bone lesions – CNN-based models.
- Proof of concepts for Artificiial intelligence for HER2 Classification - CNN-based models., Visualization methods
- 🎮 Gaming sometimes.
- 🏃 Trying to be gymrat.
- 🌍 Passionate about applying tech to solve real-world health challenges.
- ✉️ Email: scientan@gmail.com
- 🔗 LinkedIn: Thanakorn Buathongtanakarn
- 📸 Instagram: thnk._th
⭐ "Bridging healthcare, school, AI, and policy for impactful innovation."