Joseph Wall
Joseph WallMarquette University

O'Brien Hall, 315H

MilwaukeeWI53201United States of America(414) 288-7245
Curriculum Vitae

Donald F. Flynn and Beverly L. Flynn Chair of Accounting Ethics and Applied Innovation

Associate Professor of Accounting

Expert innovator in applied AI, blockchains, quantum computing, valuation, fraud, forensic accounting, and ethical technology integration.

Dr. Joseph Wall designs systems that teach people how to solve problems by creating, valuing, and explaining. He is a Wall Street quantitative analyst turned academic innovator who works to use innovation to help people upskill. His work helps academic institutions, finance and advisory firms, and industry leaders build AI-driven systems that create value. His frameworks are transparent, technically advanced, and ethically grounded.

As the Flynn Chair, Dr. Wall leads initiatives that integrate automation, large language models, applied valuation, and human–machine collaboration across undergraduate, graduate, and executive education. At Marquette, he established a replicable program architecture that integrates applied learning, service, and professional certification, and this architecture continues to inform and shape the design of multiple new majors and concentrations across the College of Business.

His programs have expanded the use of AI in accounting, forensics, and valuation coursework, launched AI-driven startups, and shaped national conversations on responsible AI in accounting and finance. His graduates now help lead AI, automation, and workflow transformation initiatives across major financial, accounting, and technology firms.

Dr. Wall’s research spans fraud analytics, forensic accounting, AI governance, valuation transparency, and the ethical implications of human–machine interaction. His scholarly work has appeared in the Journal of Business Ethics, Journal of Real Estate Research, Journal of Forensic Accounting Research, Research on Professional Responsibility and Ethics in Accounting, and related outlets. He works with student collaborators on NASA- and ESA-related research to solve financial and technical problems in space.

In practice, Dr. Wall partners with industry to design applied AI curricula, agentic systems governance structures, and adaptive learning ecosystems for workforce reskilling. He speaks nationally on AI ethics, data privacy, automation, valuation systems, and the long-term transformation of financial and accounting work. His consulting and applied teaching have trained more than 70 professionals and influenced AI implementations that have reached tens of thousands of employees.

He is also the founder of Praximae, an adaptive microlearning and AI education platform.

Education

  • Ph.D., Case Western Reserve University (2015)
  • M.B.A., Marquette University (2006)
  • B.S., Purdue University (1993)

Professional Interests

  • Applied AI and automation
  • AI ethics, governance, and transparency
  • Valuation and decision systems
  • Fraud analytics and forensic accounting
  • Human–machine collaboration
  • Space productivity and mission optimization

Recent Peer-Reviewed Research

Guiter, S. and Wall, J. (2025). Thinking Outside the (Space) Box: Researching Vibration, Microgravity, Auditory, Visual, and Olfactory Factors for Optimal Productivity. International Conference on Environmental Systems (ICES) (Sophia presented in Prague, Czech Republic).

Scheetz, A., Wall, J., & Wilson, A. (2025). In the Money: How Stock Option Vesting Period Works with Strike Price to Influence Whistleblowing. Research on Professional Responsibility and Ethics in Accounting.

Full publication list available on CV or Google Scholar.
Google Scholar: https://scholar.google.com/citations?user=76S-l2oAAAAJ&hl=en

Recent Work

  • Co-developer of the AI Development & Valuation curriculum, a six-course applied AI sequence focused on valuation, governance, ethical reasoning, and intelligent system design.
  • Faculty partner on student-led (Sophia Guiter) applied research with NASA and the European Space Agency, analyzing how microgravity, vibration, sensory stimuli, and environmental design affect human productivity and mission value.
  • Co-architect of applied AI upskilling modules used by accounting and advisory firms for workflow automation and agent-based process design.
  • Active collaborator with industry partners on applied valuation frameworks for AI systems, transparency portfolios, and human–machine decision models.
  • Developer of large-scale, transparent AI-pedagogy models used in Financial Statement Analysis and applied AI courses.

Personal Interests

  • Interdisciplinary systems design
  • Education efficacy and applied innovation
  • Quantum computing
  • Hiking and international travel with family
  • Works of literature written before 1900