Michael Stobb
Assistant Professor at Coe College
Cedar Rapids, Iowa, United States
Summary
👤
Senior🎓
Top SchoolMichael Stobb is an Assistant Professor of Data Science with eight years of academic and research experience, blending deep training in applied mathematics (BA/MS) with ongoing PhD work at UC Merced. He focuses on mathematical modeling, sensitivity analysis, and uncertainty quantification, applying techniques from graph theory, neural networks, optimization, and parallel numerical algorithms to real-world problems. Michael has a strong teaching background across institutions and practical exposure through internships in both industry and national security contexts, giving him a pragmatic edge in translating theory to practice. Based in Cedar Rapids, he is particularly interested in interdisciplinary mathematical biology and statistical modeling, and brings curiosity-driven, systems-level thinking to complex modeling challenges.
8 years of coding experience
3 years of employment as a software developer
Master of Science, Mathematical Modeling, Master of Science, Mathematical Modeling at Humboldt State UniversityDoctor of Philosophy (PhD), Applied Mathematics, Doctor of Philosophy (PhD), Applied Mathematics at University of California, Merced
Github Skills (4)
glfw3
julia3
opengl2
windows1
Programming languages (3)
Github contributions (5)
mstobb/VarianceBasedSensitivity.jl
Mar 2018 - Nov 2018
Contributions:17 commits, 9 pushes, 1 branch in 8 months
mstobb/reaction_to_ode
Mar 2018 - Aug 2023
Script to convert law of mass action reactions to Matlab ODEs.
Contributions:2 PRs, 12 pushes, 2 branches in 5 years 5 months
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