Leela Dodda
Director, Computational Chemistry
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolLeela Dodda is a director-level computational chemist with 11 years of experience blending physical chemistry, molecular simulation, and machine learning to advance drug discovery. With a Ph.D. from Yale, she has led computational strategy and teams across Nimbus Therapeutics and Roivant-affiliated startups, delivering novel targeted protein degraders and ML-driven de novo design workflows. Her work spans from building cloud-capable virtual screening and free-energy pipelines to open-source tools (e.g., LigParGen and an Alchemical Assistant) that have seen broad adoption in the community. Leela is as comfortable mentoring cross-disciplinary teams and coordinating external partnerships as she is optimizing force fields and simulation protocols, and she brings a track record of publications and patents that bridge method development and translational impact.
11 years of coding experience
7 years of employment as a software developer
Intergrated Masters in Chemistry Computational Chemistry, Intergrated Masters in Chemistry Computational Chemistry at National Institute of Science Education and Research, BhubaneswarDoctor of Philosophy (PhD) Physical Chemistry, Doctor of Philosophy (PhD) Physical Chemistry at Yale University
Telugu, Hindi, English
Github Skills (62)
simulation10
rdkit10
pdb-files10
cheminformatics10
molecular-simulation9
molecule9
dynamics9
python9
topology9
pdb9
computational-biology8
gaussian8
cuda8
dgl8
high-performance8
Programming languages (4)
Github contributions (5)
leelasd/LigParGen_2.3
Jul 2018 - Sep 2022
LigParGen python package version 2.3 (beta)
Contributions:9 commits, 1 PR, 13 pushes in 4 years 2 months
python-packagepython
leelasd/ligpargen
Apr 2016 - Aug 2018
Contributions:88 commits, 34 pushes, 1 branch in 2 years 3 months
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