Rangsiman Ketkaew

I am a postdoctoral researcher in computational chemistry and machine larning under the supervision of Prof. Markus Reiher.

My research interest is in integrating electronic structure methods with statistical techniques, including machine learning, graph theory, and symbolic regression, to explore chemical space and understand molecular reactivity. I am also passionate about software development with a focus on cloud computing, high-performance (parallel) computing, GPU acceleration, and full-stack technology.

Previously, I was a PhD student in Prof. Sandra Luber research group at University of Zurich, working on ab initio quantum molecular dynamics and enhanced sampling. I was a member of LightChEC and NCCR Catalysis.