Rangsiman Ketkaew
Postdoctoral Researcher at ETH Zürich
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolRangsiman Ketkaew is a postdoctoral researcher at ETH Zürich with nine years of experience at the intersection of theoretical chemistry, molecular simulation, and machine learning. He developed collective variables from electronic structure and statistical techniques during his PhD at the University of Zurich, and has hands-on expertise in ab initio molecular dynamics, enhanced sampling, and GPU-accelerated scientific code (OpenACC/OpenMP). His background spans industry and academia—building ML force fields for drug discovery, benchmarking MD software like GROMACS, and designing scalable AWS clusters—so he bridges fundamental theory with production-oriented tooling. Comfortable both teaching physical chemistry and writing technical content for cloud audiences, he brings clear science communication to complex computational workflows. An analytical thinker who blends symbolic regression and autoencoders with electronic-structure insights, he focuses on turning high-dimensional quantum data into actionable collective variables for efficient simulation.
9 years of coding experience
5 years of employment as a software developer
Master’s Degree, Computational chemistry, Master’s Degree, Computational chemistry at Thammasat UniversityDoctoral Degree, Theoretical Chemistry, Doctoral Degree, Theoretical Chemistry at University of Zurich
Thai, English, German
Stackoverflow
650reputation
301kreached
21answers
3questions
Github Skills (93)
python10
computational-chemistry10
crystallography10
deep-learning10
cpp10
editor10
ml10
chemistry10
neural-network10
electron10
typescript10
tensorflow10
visual-studio-code10
simulation10
algorithms10
Programming languages (15)
Github contributions (5)
rangsimanketkaew/fortran_for_fun
Mar 2017 - Jun 2022
Contributions:25 pushes, 1 branch in 5 years 3 months
rangsimanketkaew/tensorflow-cpp-api
Dec 2021 - Oct 2022
Building neural network with TensorFlow C++ API
Contributions:1 release, 36 commits, 30 pushes in 10 months
cppneural-networktensorflowtensorflow2tensorflow-cpp
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