John Jakeman
Principal Member Of Technical Staff at Sandia National Laboratories
Albuquerque, New Mexico, United States
Summary
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Senior🎓
Top SchoolJohn Jakeman is a Principal Member of Technical Staff at Sandia National Laboratories with 19 years of experience applying supervised machine learning and numerical algorithms to model complex physical processes. He founded PyApprox, a Python toolbox for function approximation, parameter estimation, and experimental design, and focuses on making predictions from data of varying credibility and cost while optimally allocating resources under budget constraints. Trained with a Ph.D. in Mathematics from The Australian National University, he blends rigorous theory in multivariate approximation and quadrature with practical engineering to drive inference and design for scientific computing. Based in Albuquerque, he is known for bridging research and deployable tools that reduce uncertainty in expensive simulations and experiments.
19 years of coding experience
9 years of employment as a software developer
Australian National University
English
Github Skills (8)
water10
flooding10
equation10
simulation9
algorithms8
scientific-computing8
python8
scipy7
Programming languages (1)
Github contributions (5)
jjakeman/latex
Nov 2018 - Mar 2019
Contributions:4 pushes, 1 branch in 3 months
jjakeman/Presentations
Jan 2019 - Jan 2019
Contributions:2 pushes, 1 branch in 1 day
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