Ranjan Mannige
Principal at RxMachina
United States
Summary
👤
Senior🎓
Top SchoolRanjan Mannige is a principal computational biologist and data scientist with 10+ years applying AI, knowledge graphs, and network science to accelerate drug development, backed by 21+ years of Python experience and 20+ years of academic research spanning molecular modeling, mathematical virology, and evolutionary biology. He has translated cross-disciplinary theory into practice—contributing to 7 patents and 20+ peer-reviewed papers—and builds end-to-end AI/KG platforms that predict downstream experimental issues across target discovery, SBDD, toxicology/DMPK-T, and lifecycle management. His career blends hands-on client-facing data science (DataRobot, KPMG) with in-house drug R&D leadership (Cerevel/AbbVie) and consulting (RxMachina), consistently surfacing new KG use cases that shorten pipelines. Notably, he led an international team whose theory-experiment work yielded a Nature paper and developed a universal mathematical framework for viruses, signaling a rare ability to move deep theory into impactful biomedical tools.
9 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Biology/Biochemistry, Bachelor’s Degree Biology/Biochemistry at University of HoustonVidya Bhavan High SchoolPh.D. Biomathematics Bioinformatics and Computational Biology, Ph.D. Biomathematics Bioinformatics and Computational Biology at Scripps Research
Github Skills (2)
backbone10
polymer6
Programming languages (1)
Github contributions (5)
ranjanmannige/backmap
May 2016 - Aug 2018
Calculates protien/polymer backbone properties using the Ramachandran number
Contributions:71 commits, 27 pushes in 2 years 3 months
propertiespolymerbackbone
ranjanmannige/backbone_chirality
Jan 2017 - Jun 2017
Contributions:25 pushes in 5 months
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