Burke Pond
About Burke Pond
Burke Pond is a computational mathematician and algorithm developer with extensive experience in various engineering and development roles across multiple companies. He holds a Doctorate in Mechanical Engineering from the University of Victoria and has worked in locations including Sweden, the United Kingdom, Canada, and the United States.
Work at Ambyint
Burke Pond has been employed at Ambyint as a Computational Mathematician and Algorithm Developer since 2017. In this role, he focuses on developing algorithms and mathematical models to enhance the company's offerings in the energy sector. His work contributes to the optimization of production processes and the implementation of advanced analytics.
Previous Employment History
Before joining Ambyint, Burke Pond held several significant positions. He worked at Markit as Director of the Simulation Framework from 2013 to 2016, where he led initiatives in simulation technology. Prior to that, he was a Developer Lead at Markit for a year in 2011. His experience also includes roles as a Senior Software Developer and Developer Lead at Quic Financial Technology from 2007 to 2011, and as an Intermediate Engineer at Emerson Automation Solutions from 2001 to 2004.
Education and Expertise
Burke Pond has a strong academic background in engineering and mathematics. He studied Mechanical Engineering at the University of Victoria, earning a Doctor of Philosophy degree from 1993 to 1999. He also obtained a Bachelor of Mathematics in Applied Mathematics from the University of Waterloo, where he studied from 1986 to 1991. His educational foundation supports his expertise in computational mathematics and algorithm development.
Background
Burke Pond's career began with a co-op position at the Canadian Space Agency from 1988 to 1991. He then transitioned to various engineering roles, including a Development Engineer position at SKF Group in Sweden from 1999 to 2001. His diverse work experience spans multiple industries, including automation, finance, and energy, reflecting his adaptability and technical skills.