Rangsiman Ketkaew
Department of Chemistry, University of Zurich, Switzerland
I am a doctoral student 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.