Morgan Mayer
Process Engineer at Infinium
Sacramento, California, United States
Summary
👤
Senior🎓
Top SchoolMorgan Mayer is a process engineer with a strong foundation in chemical and mechanical engineering and nine years of hands-on experience bridging experimental combustion research and computational modeling. With an M.S. in Mechanical Engineering (Thermal Fluid Science) and a CS minor, Morgan has five years of Python experience building ML pipelines, predicting biofuel properties, validating kinetic models, and automating uncertainty quantification for complex reaction networks. At Infinium and in academic labs, they’ve translated lab-scale reactor and combustion data into actionable process insights and reduced model dimensionality to improve predictive performance. Comfortable communicating technical trade-offs, Morgan excels at turning data-driven hypotheses into pragmatic plans within collaborative, multidisciplinary teams. A less obvious strength is their track record of creating user-focused Python tools that make sophisticated uncertainty analyses accessible to non-experts, speeding decision-making in fuel development.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Mechanical Engineering: Thermal Fluid Science, Master of Science - MS, Mechanical Engineering: Thermal Fluid Science at Oregon State University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (4)
database9
python3
data-cleaning2
automated-machine-learning1
Programming languages (2)
Github contributions (5)
SoftwareDevEngResearch/CAML
Apr 2020 - Jun 2020
(C)ase studies for (A)uto(ML). Performs data cleaning and a variety of feature transformations for automated machine learning case studies.
Contributions:1 release, 1 PR, 15 pushes in 1 month
automated-machine-learningdata-cleaning
morganmayer/CAML
May 2020 - Jul 2020
(C)ase studies for (A)uto(ML). Performs data cleaning and a variety of feature transformations for automated machine learning case studies.
Contributions:10 pushes in 2 months
cleaningdata-scienceautomated-machineautomated-machine-learningmachine-learning
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