About Orbis Scientia
Founder — Bradley W. Petersen
Bradley W. Petersen is a visionary technologist, entrepreneur, and executive with over four decades of experience driving innovation at the intersection of artificial intelligence, machine learning, analytics, and enterprise workflow systems. As the founder of Orbis Scientia, he has delivered business-intelligence solutions to more than 2,000 hospitals and health systems. Bradley architected one of the world’s largest healthcare benchmarking databases and pioneered AI-based genetic risk algorithms, laying the foundation for predictive, personalized healthcare. His leadership spans software development, complex compliance environments, cybersecurity, executive education, and enterprise transformation. Bradley is currently completing a PhD in Business, researching advanced AI-driven workflow and decision solutions in complex organizational environments at the University of Denver.
Advisory Board
Orbis Scientia is supported by a multidisciplinary advisory board composed of leading professors, doctoral researchers, and domain experts in AI, computer science, healthcare, engineering, and business. This collective guides the platform’s academic rigor and ethical design. Members contribute advanced research expertise and pedagogical leadership, offering strategic insight on workflow design, publication ethics, and the integration of human-centered AI into scholarly workflows—ensuring Orbis Scientia remains at the forefront of AI-augmented knowledge creation.
AI & Information Technology Team
Our AI and information-technology team comprises accomplished developers, data scientists, and systems architects with deep expertise in building scalable, secure, and intelligent infrastructures. They have engineered advanced applications using modern frameworks and cloud-native platforms such as Microsoft Azure and AWS. Drawing from Bradley’s legacy in enterprise information systems and real-time health analytics, the team implements proprietary algorithms that power adaptive research assistants, cognitive-load management tools, and semantic knowledge graphs—ensuring that the platform continuously evolves to meet the demands of the academic community.