KavindriĀ Ranasinghe
Research Scientist - Quantum Mechanics at Recursion
Florida, United States
Summary
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Seniorš
Top SchoolKavindri Ranasinghe is a research scientist specializing in quantum mechanics and computational chemistry, combining nine years of hands-on research with deep expertise in machine learning, molecular modeling, quantum chemistry, and high-performance computing. With a PhD from the University of Florida and a First Class Honours degree from the University of Colombo, she has driven ML-enabled chemical modeling and crystallographic refinement while contributing to industry projects at Exscientia and Recursion. She bridges academia and biotech, having implemented automated QM benchmarking workflows at Merck and transfer-learning polymer models at Zymergen, and is fluent in Python-driven toolchains for large-scale simulations. Known for translating complex chemistry into reproducible data science pipelines, she focuses on pushing machine learning at the interface of chemistry and drug discovery.
8 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Computational Chemistry, First Class Honors, Bachelor's degree, Computational Chemistry, First Class Honors at University of ColomboDoctor of Philosophy - PhD, Chemistry, Doctor of Philosophy - PhD, Chemistry at University of Florida
Github Skills (20)
systems-biology5
reaction5
open-science4
windows4
python3
wsl23
computational-chemistry3
prediction2
graph1
machine-learning1
pytorch-lightning1
drug-discovery1
materials-informatics1
docking1
pytorch1
Programming languages (3)
Github contributions (5)
kavi9030/molssi_devops_uf
Apr 2019 - Apr 2019
Contributions:14 pushes, 1 branch in 1 day
kavi9030/auto-ts
Nov 2017 - Nov 2017
Contributions:4 pushes in 2 days
functional-programmingtransitionstate-transitionautomatic-generationdirected
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