CV

Basics

Name Rangsiman Ketkaew
Label Doctoral student
Email rangsiman.ketkaew@chem.uzh.ch
Url https://rangsimanketkaew.github.io
Summary A doctoral student interested in quantum chemistry, machine learning, software development, and high-performance computing

Work

  • 2020.06 - Present
    Doctoral Researcher
    University of Zurich, Zurich, Switzerland
    • Develop and apply 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
    • Develop machine learning model for predicting fouling in heat exchangers
    • Provide expert guidance and domain skills in chemistry
  • 2019.09 - 2020.05
    Computational Chemist
    New Equilibrium Biosciences, Boston, MA, USA
    • Design AWS-based autoscaling parallel cluster with GPUs for high-performance calculations
    • Develop 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
    • Initiate TMLCC - the first data science competition in Thailand that focuses on chemistry problem
    • Design the problem and challenge
  • 2019.01 - 2021.12

    Bangkok, Thailand

    Marketing Team
    PyCon Thailand 2019 & 2021
    Core team member focusing marketing and public relations
    • Strategic marketing idea
    • Coordinate with invited speakers

Education

  • 2020.06 - Present

    Zurich, Switzerland

    Dr. rer. nat.
    University of Zurich, Zurich, Switzerland
    Theoretical Chemistry
    • Quantum chemistry
    • Ab initio molecular dynamics
    • Enhanced sampling
    • Machine learning
    • Software development
  • 2016.06 - 2018.12

    Pathum Thani, Thailand

    MSc
    Thammasat University, Thailand
    Theoretical Chemistry
    • Constrained Density Functional Theory
    • Marcus Theory for Electron Transfer
    • Homogeneous catalysts
  • 2012.05 - 2016.05

    Pathum Thani, Thailand

    BSc
    Thammasat University, Thailand
    Chemistry
    • Reaction mechanism investigation
    • Density Functional Theory
    • Time-Dependent Density Functional Theory
    • Mesoscale Simulation
    • Dissipative Particle Dynamics

Awards

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
NumPy
SciPy
SymPy
Scikit-Learn
Pandas
Development Tools
Git
CI/CD
Docker
Kubernetes
Platforms
AWS EC2
AWS ParallelCluster
AWS Auto Scaling

Languages

Thai
Native speaker
English
Fluent
German
Beginner

Interests

Computational Chemistry
Molecular quantum chemistry
Free energy calculation
Electron transfer
Statistical and mathematical techniques
Machine Learning
Deep neural network
Unsupervised machine learning
Symbolic regression
Graph-based neural network
Scientific Software Development
High-performance computing
Software benchmarking
Distributed computing
Cloud technology
Endurance Sports
Distance running
Trail running
Skiing
Cycling

References

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