CV
Basics
| Name | Rangsiman Ketkaew |
| Label | Postdoctoral Researcher |
| rangsiman.ketkaew@phys.chem.ethz.ch | |
| Url | https://rangsimanketkaew.github.io |
| Summary | A postdoctoral researcher interested in quantum chemistry, machine learning, software development, and high-performance computing |
Work
-
2025.09 - Present -
2020.06 - 2025.06 Doctoral Researcher
University of Zurich, Zurich, Switzerland
- Developed and applied computational techniques for molecule design and reaction investigation
- Synergistic collaboration with NCCR Catalysis
-
2020.05 - 2020.11 Machine Learning Consultant
Thingking Machines Data Science, Bangkok, Thailand
- Developed machine learning model for predicting fouling in heat exchangers
- Provided expert guidance and domain skills in chemistry
-
2019.09 - 2020.05 Computational Chemist
New Equilibrium Biosciences, Boston, MA, USA
- Designed AWS-based autoscaling parallel cluster with GPUs for high-performance calculations
- Developed machine learning force field for drug discovery targeting intrinsically disordered proteins (IDPs)
Volunteer
-
2023.01 - 2023.12 Zurich, Switzerland
Core Team Member
Google Developer Student Clubs (GDSC)
Event organizer for GDSC
- Organized a seminar with D.E. Shaw Research, NYC, USA
-
2021.03 - 2021.12 Bangkok, Thailand
Lead Organizer
Thailand Machine Learning for Chemistry Competition 2021
Committee member and technical team leader of the TMLCC
- Initiated TMLCC - the first data science competition in Thailand that focuses on chemistry problem
- Designed the format and problem of the competition
-
2019.01 - 2021.12 Bangkok, Thailand
Marketing Team
PyCon Thailand 2019 and 2021
Core team member focusing marketing and public relations
- Strategic marketing idea
- Coordinate with invited speakers
Education
-
2020.06 - 2025.06 Zurich, Switzerland
Dr. sc. nat.
University of Zurich, Zurich, Switzerland
Theoretical Chemistry
- Ab initio molecular dynamics
- Enhanced sampling
- Dimensionality reduction techniques
-
2016.06 - 2018.12 Pathum Thani, Thailand
MSc
Thammasat University, Thailand
Theoretical Chemistry
- Constrained Density Functional Theory
- Marcus theory for electron transfer
- Homogeneous catalysis
-
2012.05 - 2016.05 Pathum Thani, Thailand
BSc
Thammasat University, Thailand
Chemistry
- Reaction mechanism investigation
- Density Functional Theory
- Time-Dependent Density Functional Theory
- Dissipative Particle Dynamics
Awards
- 2024.11
CMSZH Travel Award | Machine learning workshop
Graduate School of Chemical and Molecular Sciences Zurich, Switzerland
CECAM Machine Learning Workshop, Berlin, Germany
- 2018.04
NCTU Elite Internship Program
National Chiao Tung University, Hsinchu, Taiwan
Scholarship for international student
- 2017.02
Visiting Scholarship
International Centre for Theoretical Physics, Trieste, Italy
Travel Award Fellowship
- 2016.03
The Royal Winner Award
UBE Corporation, Bangkok, Thailand
The winner of 2016 Thailand Computational Chemistry Challenge
Certificates
| Graph Theory Algorithm | ||
| Udemy | 2022-11 |
| Troubleshooting EC2 - Linux | ||
| Amazon Web Services (AWS) | 2021-12 |
| AWS Cloud Practitioner Essentials | ||
| Amazon Web Services (AWS) | 2021-12 |
Skills
| Programming | |
| Python | |
| Fortran | |
| C++ | |
| SQL | |
| Bash |
| Libraries/Frameworks | |
| TensorFlow | |
| PyTorch | |
| NumPy | |
| NumBa | |
| CuPy | |
| SymPy | |
| Scikit-Learn |
| Parallel Computing | |
| CUDA Python | |
| OpenACC | |
| OpenMP | |
| MPI |
| Development Tools | |
| Git | |
| CI/CD | |
| Docker | |
| Kubernetes |
| Cloud Platforms | |
| AWS EC2 | |
| AWS ParallelCluster | |
| AWS Auto Scaling |
Languages
| Thai | |
| Native speaker |
| English | |
| Fluent |
| German | |
| Beginner |
Interests
| Computational Chemistry | |
| Molecular quantum chemistry | |
| Enhanced sampling | |
| Electron transfer | |
| Statistical and mathematical techniques |
| Machine Learning | |
| Unsupervised learning | |
| Graph neural nets | |
| Symbolic regression | |
| Algorithmic trading |
| Scientific Software Development | |
| Performance testing | |
| Code optimization | |
| Distributed computing |
References
| Professor Markus Reiher | |
| Professor of Theoretical Chemistry, D-CHAB, ETH Zurich, Switzerland |
| Professor Sandra Luber | |
| Professor of Theoretical Chemistry, University of Zurich, Zurich, Switzerland |
| Professor Yuthana Tantirungrotechai | |
| Professor of Theoretical Chemistry, Thammasat University, Pathum Thani, Thailand |
| Dr. Fabrizio Creazzo | |
| Senior PostDoct Researcher, University of Zurich, Zurich, Switzerland |