Gihan Panapitiya
Data Scientist
United States
Summary
👤
Senior🎓
Top SchoolGihan Panapitiya is a data scientist and computational physicist with nine years of experience applying first-principles calculations and machine learning to materials design and discovery. Currently at Pacific Northwest National Laboratory, he has evolved from postdoctoral researcher to dual roles in materials science and data science, bridging domain knowledge with data-driven modeling. His PhD in Physics and background in computational physics underpin a track record of translating complex quantum-mechanical simulations into actionable insights and predictive models. Comfortable working across academia and national lab environments, he combines rigorous theory with practical implementation of ML workflows for materials screening. Colleagues would describe him as someone who pairs deep domain intuition with a preference for reproducible, research-driven code and scalable analysis pipelines.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at West Virginia UniversityMaster of Science - MS, Physics, Master of Science - MS, Physics at The University of AkronBachelor of Science - BS, Computational Physics, Bachelor of Science - BS, Computational Physics at University of Colombo
Github Skills (50)
pre-trained-model9
docking9
representation-learning9
proteins9
text-mining8
text-table8
crystallography8
cheminformatics7
prediction6
chemistry6
deep-learning6
pytorch-lightning6
information-extraction5
nlp5
compound5
Programming languages (3)
Github contributions (5)
gihanpanapitiya/qe_bands
Dec 2018 - Jun 2023
Contributions:6 pushes, 1 branch in 4 years 7 months
gihanpanapitiya/gihanpanapitiya.github.io
Feb 2019 - Oct 2024
Contributions:2 PRs, 19 pushes, 2 branches in 5 years 9 months
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