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.

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

My interest lies in the intersection of quantum chemistry and statistical techniques, including scaling machine learning, graph theory, and symbolic regression, to explore chemical space, to aid drug discovery, and to understand molecular reactivity of (small) molecules. My professional experience also extends to software engineering, R&D development, high-performance scientific computing, cloud computing, CUDA GPU acceleration, and full-stack technology.