John Jakeman
About John Jakeman
John Jakeman is a Principal Member of Technical Staff at Sandia National Laboratories, specializing in data-driven predictions and resource optimization.
Current Position at Sandia National Laboratories
John Jakeman is currently serving as the Principal Member Of Technical Staff at Sandia National Laboratories. He has been in this position since 2020. In this role, he contributes to the advancement and application of technical knowledge and expertise within the organization.
Previous Roles at Sandia National Laboratories
Before his current role, John Jakeman worked as a Senior Member of Technical Staff at Sandia National Laboratories from 2014 to 2020 for a duration of 6 years. Throughout his tenure, he played a significant role in various technical projects and initiatives.
Experience at SAMSI and Purdue University
In 2011, John Jakeman served as a Postdoctoral Associate at both the Statistical and Mathematical Applied Sciences Institute (SAMSI) and Purdue University. At SAMSI, he worked for 4 months in Research Triangle Park, NC, and subsequently, he was a Postdoctoral Associate at Purdue University's Mathematics Department for 5 months.
Educational Background
John Jakeman studied at The Australian National University where he earned his Doctor of Philosophy (Ph.D.) in Mathematics from 2007 to 2011. Prior to that, he completed a Bachelor of Science (BS) in Mathematics at the same institution from 2003 to 2006.
Contribution to PyApprox
John Jakeman is a founding developer of PyApprox, a Python toolbox designed for function approximation, parameter estimation, and design of experiments. This tool assists researchers and practitioners in efficiently conducting various scientific computations.
Specialization in Data Analysis
John Jakeman specializes in making predictions using data of varying credibility and cost. He is adept at optimally allocating resources to minimize errors within budgetary constraints, a skill that is crucial in many technical and scientific domains.