Rangsiman Ketkaew
Department of Chemistry, University of Zurich, Switzerland
Doctoral student specializing in computational chemistry and machine larning. My research relies on ab initio quantum molecular dynamics and enhanced sampling for free energies calculations of chemical reactions and molecular design.
I integrate 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 (open-source) software development with an emphasis on cloud computing, high-perfermance computing, and full stack technology.
I am currently a member of LightChEC and NCCR Catalysis under the supervision of Prof. Sandra Luber.