Adam Singer
About Adam Singer
Adam Singer is a Senior Principal Digital Architect at ExxonMobil Technology and Engineering, specializing in high-performance numerical software and data architecture solutions in the energy sector.
Current Role at ExxonMobil
Adam Singer is currently the Senior Principal Digital Architect at ExxonMobil Technology and Engineering. Since 2022, he has been focused on developing high-performance numerical software. His work primarily involves creating reusable solutions for modeling physical phenomena. His role also includes leading software and data architecture solutions, particularly within the Upstream sector of ExxonMobil.
Previous Experience at ExxonMobil
Before his current position, Adam Singer served as Senior Principal Digital Architect for Upstream Integrated Solutions at ExxonMobil from 2020 to 2022. Prior to that, he was a Supervisor for Upstream Integrated Solutions from 2019 to 2020. His contributions in these roles revolve around applying numerical algorithms to solve complex models in the energy sector, with a primary focus on software and data architecture.
Involvement with AI Innovation Consortium
Adam Singer was a Trustee at the AI Innovation Consortium from 2021 to 2023. During his two-year tenure, he played a significant role in guiding the consortium's activities aimed at fostering innovation and growth in the field of artificial intelligence.
Academic Contributions
Adam Singer was involved in academia as an Adjunct Assistant Professor at Rice University from 2006 to 2007. He has also contributed to the field of knowledge as a book author for Apress in 2017. His background in chemical engineering and focus on numerical software are well-reflected in his academic endeavors.
Educational Background
Adam Singer earned his Doctor of Philosophy (PhD) in Chemical Engineering from the Massachusetts Institute of Technology, studying from 1999 to 2004. He also holds a Bachelor of Engineering (BE) in Chemical Engineering from the Georgia Institute of Technology, where he studied from 1995 to 1999. His strong educational foundation in chemical engineering has significantly contributed to his expertise in developing numerical algorithms and high-performance numerical software.