Noel Lemus is a Senior Data Scientist with 11 years of hands-on experience turning advanced ML, AI and optimization research into production impact, currently leading end-to-end analytics at Procter & Gamble from Rio de Janeiro. He combines a Ph.D. in Computational Modeling and a strong research pedigree—postdoc work on epidemic modeling and publications—with enterprise-scale algorithm deployment and stakeholder activation. Earlier roles include scientific research at Dell EMC on large-scale seismic interpretation and leading a 30+ bioinformatics R&D group that produced registered software and university-wide recognition. Noel’s background as an assistant professor and mentor underpins his ability to translate complex math into teachable, operational solutions and to grow cross-disciplinary teams. He is equally comfortable designing novel simulation models and shepherding them into business processes, a blend that accelerates adoption beyond proof-of-concept. An unexpected strength: decades-long experience managing large academic projects gives him rare depth in both IP-aware productization and reproducible scientific software.
11 years of coding experience
14 years of employment as a software developer
Master's degree, Bioinformatics, Master, Master's degree, Bioinformatics, Master at Institute of Technologies And Applied Sciences (InsTEC)
Bachelor's degree, Radiochemistry, Bachelor, Bachelor's degree, Radiochemistry, Bachelor at Institute of Nuclear Sciences And Technology (ISCTN)
Doctor of Philosophy - PhD, Computational Modeling, PhD, Doctor of Philosophy - PhD, Computational Modeling, PhD at National Laboratory of Scientific Computing
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