Geemi Wellawatte
Technical Staff at FutureHouse
United States
Summary
🤩
Rockstar🎓
Top SchoolGeemi Wellawatte is a Technical Staff engineer with seven years of experience at the intersection of chemistry and AI, currently building applied ML systems at FutureHouse. With a PhD and postdoctoral training in chemical engineering and computational chemistry from University of Rochester and EPFL, Geemi blends deep domain science with practical software development. Their career spans academic research and engineering roles, translating complex molecular problems into production-ready models and tools. Geemi’s background as a graduate instructor and researcher gives them a knack for clear technical communication and reproducible workflows. Based in the United States, they bring an uncommon combination of hands-on lab knowledge and machine learning engineering to multidisciplinary teams.
7 years of coding experience
1 year of employment as a software developer
Master's degree Chemistry, Master's degree Chemistry at University of RochesterBachelor's degree Computational Chemistry , Bachelor's degree Computational Chemistry at University of ColomboPost Doctoral Chemical Engineering, Post Doctoral Chemical Engineering at EPFL
Github Skills (38)
molecule10
predict10
partition10
mappings10
ai10
science10
proteins10
structural-biology9
simulation9
materials-informatics9
molecular-dynamics-simulation9
drug-discovery8
chemistry8
rdkit8
graph8
Programming languages (4)
Github contributions (5)
rochesterxugroup/DSGPM
Aug 2020 - Aug 2021
Deep Supervised Graph Partitioning Model
Contributions:55 commits, 8 PRs, 43 pushes in 11 months
pytorchautoencodersuperviseddeep-learningpartitioning
rochesterxugroup/HAM_dataset
Jul 2020 - Oct 2020
Human-annotated Mappings Dataset for Molecular Graph Partition
Contributions:22 commits, 5 PRs, 18 pushes in 3 months
datasetmolecularmappingsgraphannotated
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