Postdoctoral Researcher, Mahidol University — Advanced Technologies for Energy and Sustainability Lab. PhD Materials Science & Engineering. 9 peer-reviewed papers (h-index 6), 2 Thai patents, on radiative cooling coatings for tropical climates.
Now building the computational + software side: Python, ML surrogates, building energy simulation — applying the same rigor from wet-lab materials research to data.
🔭 Currently: Radiative cooling ML models · Bangkok building energy analytics · transitioning toward Materials Informatics / Applied AI roles.
🧪 Domain expertise: thin-film coatings, spray-coating scale-up, FTIR/SEM/UV-Vis-NIR characterization, EnergyPlus building simulation (ASHRAE G14 validated), Monte Carlo / Sobol uncertainty quantification.
🛠️ Stack: Python (pandas, numpy, scipy, sklearn, SALib), EnergyPlus/eppy/geomeppy, matplotlib/plotly dashboards.
- rc-coating-ml — Predicting ΔT performance of radiative cooling coatings from lab data (LFA, FTIR) using ML.
- fesem-viewer — SEM/FESEM TIFF session folder → interactive HTML comparison grid. Single-script Python + Pillow tool built for actual lab workflow.
- bangkok-weather-aqi — Bangkok weather/AQI analytics dashboard (in progress).
📄 Google Scholar — 102 citations, h-index 6 First-author: Radiative cooling film enabled by droplet-like infrared hot spots..., Cell Reports Physical Science 2024 (IF 7.9, Top 10%)