Saw Simeon
Postdoctoral Researcher at Uppsala University
Sweden
Summary
👤
Senior🎓
Top SchoolSaw Simeon is a postdoctoral researcher and data scientist with 11 years’ experience applying chemoinformatics, machine learning, and data-driven decision tools to drug discovery, sustainability, and biotech projects. At Uppsala University and INSERM he built explainable ML models for molecular properties and developed R Shiny interfaces to support small-molecule discovery workflows. His background spans academic research, startup commercialization and industry consultancy, including managing a university spinout and coordinating regulatory-compliant product development. Known for combining hands-on coding and model interpretation with clear cross-disciplinary communication, he excels at turning complex biological data into actionable insights. Based in Sweden with a PhD in Bioscience, he brings a persistent curiosity for “aha” moments and a track record of shipping tools that bridge research and real-world impact.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Bioscience, Doctor of Philosophy - PhD, Bioscience at Kasetsart UniversityBachelor's degree, Biology/Biological Sciences, General, 3.33, Bachelor's degree, Biology/Biological Sciences, General, 3.33 at Mahidol University International CollegeMaster's degree, Medical Technology, 3.5, Master's degree, Medical Technology, 3.5 at Mahidol UniversityHigh School Diploma, EDUCATION, High School Diploma, EDUCATION at Ekkamai International School
burmese (myanmar), English
Github Skills (85)
biology10
chemistry9
science9
deep-learning9
quantum-chemistry9
drug-discovery9
discovery9
machine-learning8
shap8
convolutional-neural-networks7
gradient-boosting7
r-package7
docking7
shapley7
cheminformatics6
Programming languages (7)
Github contributions (5)
sawsimeon/PDL1_Generic
Mar 2022 - Jun 2022
Contributions:31 commits, 8 PRs, 15 pushes in 3 months
sawsimeon/Rnewbie
May 2016 - Aug 2019
Contributions:72 pushes, 1 branch in 3 years 3 months
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