What AI Should Actually Do in Accounting Education
A practical argument for AI systems that improve feedback quality, student agency, and instructor decision-making instead of just automating tasks.
ReadAccounting professor, University of Tampa
I build software for learning and accounting workflows, research how people make decisions with numbers, and teach accounting to college students. Sometimes all three at once.
Teach
Courses, feedback systems, and analytics that hold up in a real semester.
Research
Judgment and decision-making in accounting — how information gets used (or misused).
Build
Software that survives contact with actual students and real classrooms.
Writing
Working drafts and field observations. Nothing polished — just useful.
A practical argument for AI systems that improve feedback quality, student agency, and instructor decision-making instead of just automating tasks.
ReadAn exploration of how revenue cycle complexity, data flow, and operational visibility can be reframed through better systems design.
ReadHow academic rigor, experimentation, and software prototyping can reinforce each other when building tools for learning and finance.
ReadWhat I'm building
I build things the way I'd run a study: find a real problem, form a hypothesis, build something that can fail, and pay attention to what happens. The software and the scholarship feed each other.
Research-driven development for better student feedback, analytics, and instructional decisions.
A faculty-facing academic intelligence platform designed to turn course data, learning objectives, and feedback workflows into clearer action for both instructors and students.
How the build works
Algorithmic question delivery, explanation tracking, and behavioral learning data combine to support stronger study habits and better instructional insight.
A growing set of lightweight systems that reduce admin drag while making room for stronger teaching, sharper research, and more consistent student communication.
Research
A mix of finished work and things I'm still trying to figure out.
Investigating where intelligent systems can reduce friction, improve decisions, and create more transparent accounting processes in healthcare environments.
A long-standing research thread examining how people interpret disclosures, process information, and make accounting-related decisions.
Using classroom data and feedback strategy to build better student experiences at scale without flattening the human side of teaching.
What I study