Rangsiman Ketkaew

I am a Postdoctoral Researcher in Machine Larning and Computational Chemistry at Theoretical Chemistry Lab, ETH Zürich, under the supervision of Markus Reiher. I obtained a PhD from Computational Chemistry Lab, University of Zürich, where I worked with Sandra Luber.

Prior to my PhD, I was a Machine Learning Scientist for Drug Discovery and Cloud Architect at New Equilibrium Biosciences, Boston, MA, USA. I also served as a Machine Learning Consultant at Thinking Machines Data Science and worked as a technical writer at Cloud HM, Bangkok, Thailand.

I build foundation ML models, next-generation LLM agent system, and computational tools to accelerate drug discovery and decode molecular reactivity. By merging quantum chemistry with statistical machine learning - including graph transformers, generative models, and symbolic regression - I model complex chemical spaces. My background also extends to software R&D development, I scale these solutions using HPC environments, CUDA GPU acceleration, cloud infrastructure, and full-stack development.