Summary
David Paper is a clinical professor and seasoned academic in Management Information Systems with over nine years of listed experience and a long teaching career dating back to 1995. He blends practical software expertise—teaching PL/SQL, Python, MongoDB, and web programming—with deep research credentials (100+ scholarly publications) and a PhD in Management. An applied machine learning author, he wrote two hands-on TensorFlow books designed for Google Colab that span introductory to advanced topics, reflecting his preference for practical, cloud-first pedagogy. His background includes early industry systems work at Texas Instruments and a habit of turning classroom material into accessible technical books, showing a commitment to bridging theory and practice. Based in Logan, Utah, he combines rigorous academic training with a clear focus on empowering practitioners to adopt modern ML workflows.
10 years of coding experience
Master of Business Administration (M.B.A.), Business Administration and Management, General, and Finance, A (honors), Master of Business Administration (M.B.A.), Business Administration and Management, General, and Finance, A (honors) at Arizona State University
Doctor of Philosophy (Ph.D.), Management (emphasis in Management Information Systems), 4.0, Doctor of Philosophy (Ph.D.), Management (emphasis in Management Information Systems), 4.0 at Southern Illinois University, Carbondale
English