Rangsiman Ketkaew

I am a Postdoctoral Researcher in Machine Learning and Computational Chemistry at the Theoretical Chemistry Lab, ETH Zürich, under the supervision of Markus Reiher. My research focuses on geometric ML, generative models, time series, and high-performance scientific computing with GPU acceleration.

I obtained my PhD from the 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 in Boston, MA, USA. I also served as a Machine Learning Consultant at Thinking Machines Data Science and worked as a Cloud Technical Writer at Cloud HM in Bangkok, Thailand.

My domain knowledge span the development and deployment of physics-based foundation models, numerical methods, and LLM agent to accelerate the solution of complex problems in materials discovery and drug discovery. My background also extends to R&D software engineering, where I transform prototypes into scalable solutions using HPC environments, CUDA GPU, and cloud infrastructure.