Paul is an experienced energy data strategist and has been an enterprise energy decision management, data velocity and applied analytics practitioner throughout his 30 year career.

In 2019 at the Association of Energy Engineers East conference in Boston, Paul co-presented Virtual Closed Loop Control for Adaptive Energy Management in Retail Buildings with Keith Gipson. This presentation was based on a whitepaper that Paul wrote to contextualize the relative imprecision of Building Automation Systems based on an Open Loop design and that control systems based on simplified PID loops are inadequate to achieve the precision of Closed Loop Control. Without closing the Loop with a full expression of error correction, precision can never be achieved.

In 2021, Paul presented on the powerful influence of Object Oriented Design in Energy and Decision Management where he established that one cannot manage energy without also managing decisions. This understanding is foundational to developing a fully automated Decision Management system to handle analytics signal traffic.

Paul’s ultimate objective is a multi-planar suite of robust programmatic and dynamic energy and decision management methodologies that responds continually to mechanical, environment, and climatological conditions seamlessly through machine learning and artificial intelligence techniques.