Resume
Academic Achievements
- - Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation (arXiv:1904.08825)
- - Learning-based Video Motion Magnification (ECCV 2018 Oral)
- - On the Importance of Label Quality for Semantic Segmentation (CVPR 2018)
- - A Video-Based Method for Automatically Rating Ataxia (MLHC 2017)
- - Predicting Range of Acceptable Photographic Tonal Adjustments (ICCP 2015)
Research Experience
- Worked as a researcher at Google Health until mid-2025, focusing on advancing the medical multimodal capabilities of Gemini and Gemma, Google's generative AI models; during his PhD, he worked on using synthetic data to solve various computer vision and signal processing problems.
Education
- Completed PhD studies under Professor Frédo Durand at MIT CSAIL; previously attended Stanford University for a bachelor's degree in Physics.
Background
- Currently a lecturer at the Faculty of Medicine, Siriraj Hospital, Thailand. Interested in applying AI to healthcare in real-world settings and building a community of AI researchers in Thailand.