Evanston, IL – June 7, 2022 – QuesTek Innovations, the primary operating subsidiary of QuesTek International LLC, today announced that Brian Registe has joined the Company in the role of Chief Financial Officer. In this capacity, Brian is responsible for all Financial Management of the Company, including consolidation to QuesTek International of the international joint ventures of the Company, QuesTek Europe (partnered with ThermoCalc), and QuesTek Japan (partnered with CTC Itochu).
Prior to joining QuesTek, Brian forged a 24-year career of steady advancement from frontline accounting to CFO responsibility. He has extensive experience in financial management for government contracting, including FAR compliance and cost-plus, fixed fee agreements. Brian has also previously led successful financing for rapidly growing companies moving into new market areas. He is a US Army veteran and licensed CPA. He earned an undergraduate degree in accounting and holds both an MBA and a PhD in organizational leadership.
According to QuesTek Chief Operating Officer Bill Mahoney, “Brian is the ideal executive to lead our financial initiatives as we accelerate the growth of the Company. His experience mix of both government and corporate leadership matches exactly with the revenue source mix of QuesTek. His past leadership of financing for high-growth companies will contribute to QuesTek growth initiatives as we sustain our government clientele, expand our corporate revenue streams, and bring new digital offerings to the marketplace.”
About QuesTek Innovations
QuesTek Innovations is both a pioneer and current market leader in Integrated Computational Materials Engineering (ICME). QuesTek’s Materials by Design® technologies are proven to reduce the development time and cost, and increase the performance of novel materials. In its market space, QuesTek is the only provider to execute the full cycle from novel design to production, certification, and flight operations with proprietary materials, in a fraction of the time and cost of traditional, or purely algorithmic methods.
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