Numerical Advisory Solutions
Jeffrey Lane has a strong background in engineering and advisory roles. Jeffrey started their career at Zachry Nuclear Engineering, Inc. in 2013 as a Senior Consultant, where they specialized in gothic role descriptions. In 2020, they advanced to the position of Chief Engineer, Software Development at Zachry Nuclear Engineering. Jeffrey currently holds the position of Technical Director & Advisory Engineer at Numerical Advisory Solutions, starting in 2022.
Jeffrey Lane holds a Bachelor of Science (BS) degree in Nuclear Engineering and Mechanical Engineering from Penn State University, which they obtained in 2004. Two years later, in 2006, they completed their Master of Science (MS) degree in Nuclear Engineering from the same university. Subsequently, Jeffrey Lane pursued further education and earned a Doctor of Philosophy (PhD) degree in Nuclear Engineering from Penn State University in 2009.
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Numerical Advisory Solutions
Numerical Advisory Solutions provides unique, insightful and understandable analytical solutions to our customer’s most complex, unique and challenging technical issues. Numerical offers dedicated, highly technical, and specialized resources to better support Zachry Group’s growing customer base and enable Zachry to further support customers through energy transition initiatives and optimization of existing facilities. With nearly 40 years of industry experience, we have achieved international recognition for our expertise in thermal hydraulics analysis, radiological analysis, safety analysis and software development. Numerical utilizes customized tools and software, cutting edge technologies (including AI, machine learning and digital twins), creativity, complex problem analysis, and industry expertise to deliver theoretically sound, technically solid, practical, safe, and experience-based solutions for our customers. We are providing customers with significant cost savings, higher design margins, operational flexibility, efficiency improvements, reduced reactive maintenance, increased reliability, and resource optimization.