Research and Development in 3D Computer Vision, Data science, and all things thing Entropic in Nature. Currently on a journey to a richer understanding of modern Python/C++/GPU based 3D vision software development in the ever expanding world of non-linear deep reinforced learning infrastructure and tool sets. Simply an amazing journey.

Lead the Liberty Engineering and Product Development teams while we doubled our annual revenue in 3D robotic guidance and inspection applications. What a wonderful experience. So grateful to lead such an awesome group of individuals under some of the most challenging conditions I have experienced.

Principle in guiding the evolution of Liberty Reach automated 3D vision solution products. Our 3D vision applications use state-of-the-art high performance computing methods and are best-in-class. In many instances, our products are enabling clients to increase production by 25% or more when using our systems. This translates to well over a billion dollars a year in additional sales for some production facilities. My efforts at Liberty Reach have focused on the following general themes:Improving hardware design(s) to increase system reliability and improve functionality. Engaging with customers to resolve challenging legacy installations.Development of new applications and intellectual property rights. Preparation for large scale deployment of new Liberty Reach vision applications globally.We are steadily increasing market share in competitive markets and solving previously intractable problems in industrial applications. Our business model ensures new application prototype to production ready development time of 6 months. An example of this is the V-Presence software application. V-Presence is used for part detection in dynamic or static automated environments, return-on-investment for our customers is completed in just a few weeks of operation. Customers have been, "pleasantly surprised by the effectiveness of the application."

A University of Michigan senior research fellow, focused on structural informatics, is developing novel and fast computational methodologies for predicting protein interactions with bulk solvent, computational designing and experimentally testing proteins useful in cancer research, and training undergraduate and graduate students in the biophysical characterization of proteins. The new methodologies (10^6 faster than state-of-the-art) will enable the extension of hydrogen deuterium exchange prediction by mass spectroscopy into the field of structural biology and protein structure prediction.

Graduate Studies on the structure and function of energy dependent outer membrane transport in E.coli.