Research
Intelligence in three forms: human, artificial, institutional.
The lab studies how intelligence works in people, builds it into software, and applies both to running an academic institution. Each thrust carries published research, deployed systems, or both.
Which thrust fits you?
Four questions, one starting point.
Answer these four questions to see which of the lab's three research thrusts, human intelligence, applied AI, or institutional intelligence, matches how you like to work. Takes about a minute.
Human Intelligence Research
Emotional intelligence self-check
Ten statements, about two minutes. It gives you a reflective profile, not a diagnosis or a validated clinical instrument. Answer for how you usually are, not how you would like to be.
01I can name what I am feeling while I am feeling it.
02I know which situations reliably knock me off balance.
03When I am frustrated, I can wait before responding.
04Under deadline pressure my judgment stays roughly as good as it usually is.
05I pick up on how someone is doing before they say anything.
06I adjust how I communicate when I am working across a different culture.
07I raise a difficult issue with a colleague rather than working around it.
08People bring me problems before those problems get large.
09Criticism I did not expect leaves me curious more often than defensive.
10In a disagreement I can state the other person's position well enough that they agree with my version of it.
0 of 10 answered. Nothing is stored or sent anywhere.
01
Human Intelligence Research
Emotional intelligence, cultural intelligence, and entrepreneurial cognition in organizations and higher education.
This is the empirical foundation of the lab: peer-reviewed work on how people perceive, regulate, and adapt intelligence across cultural and organizational contexts. International students navigating a new academic culture. Employees under the strain of a pandemic. Founders whose cognitive complexity shapes what they can build.
The findings inform everything downstream. A system designed without a model of how people actually reason, feel, and adapt is a system that gets abandoned in week three.
Published work
- Phenomenological Study of Ethnic Minority Immigrant Entrepreneurs' Lived Experiences Journal of Management and Marketing Research, 25, 2021
- Examining the Relationship between Emotional Intelligence and Work Productivity during COVID-19: Multiple Regression Analysis SCIREA Journal of Management, 4(1), 2020
- An Alternative to Universities Offering an Entrepreneurial Degree: Incorporating Entrepreneurial Traits Through Improving Cognitive Complexity Journal of Global Business Management, 2019
- Regression Analysis to Establish the Relationship Between Social Status and Educational Attainment and Entrepreneurial Success: A Case of States in the South of the United States Journal of Human Resource and Adult Learning, 2019
- A Qualitative Phenomenological Study of Emotional and Cultural Intelligence of International Students in the United States of America Journal of International Students, 8(2), 2018
- Correlation between Creative Tourism and Agrotourism Services Experiences: An Empirical Research in the Mexican Rural Tourism Environment Journal of Applied Business and Economics, 2018
- Is This the Future of Academics? ACBSP Impact Magazine, Winter 2018, pp. 31-32, 2017
02
Applied AI Systems
Designing and deploying production AI platforms, from problem framing and data model to interface and deployment.
The interesting constraint in applied AI is no longer capability. It is the distance between a model that can do something and a product a person will use on a Tuesday afternoon under deadline.
This thrust is deliberately hands-on: every platform in the Projects catalogue was designed, built, and deployed personally. That constraint is the point. It shows what a domain expert can now build alone, and where the real ceiling sits.
Published work
- Lightweight Privacy-First Federated Learning for Medical AI Conference paper, pp. 255–268, 2026
Related builds
03
Institutional & Academic Intelligence
Applying human and artificial intelligence research to the work of running a business and technology school.
Most institutional dysfunction is not strategic. It is a data-entry problem wearing a strategy costume: two systems that do not talk, a report assembled by hand, a signal that arrives three weeks after it mattered.
This thrust covers accreditation and assessment infrastructure, enrollment intelligence, curriculum redesign across three accredited programs, and faculty development, all built inside the institution by someone who has to live with the results.
Related builds