AI Adoption & Transformation
Helping teams move from scattered AI experiments to disciplined workflows, use cases, governance, and adoption.
Saint Louis University · Chaifetz School of Business
I help organizations turn AI, analytics, and process improvement ideas into practical systems people can actually use.
17 years of technology delivery leadership · Ph.D. in information systems · M.Stat. · award-winning teaching · hands-on AI tool-building.

For organizations
Business problems I help solve — drawing on delivery leadership, statistics, research, and teaching.
Helping teams move from scattered AI experiments to disciplined workflows, use cases, governance, and adoption.
Using statistics, machine learning, and business analytics to improve decisions, explain tradeoffs, and create practical insight.
Applying operations, systems thinking, and technology delivery experience to improve workflows, quality, capacity, and execution.
Designing learning experiences, workshops, and tools that help people actually change how they work.
Why this combination matters
Many organizations have AI tools. Fewer have a clear way to turn those tools into better decisions, better workflows, and stronger teams. My career has moved across technology delivery, consulting, doctoral research, teaching, and tool-building. That combination helps me see both the system and the human behavior inside it.
In short
I teach statistics, analytics, and machine learning at the Richard A. Chaifetz School of Business, where I also direct the One-Year MBA Practicum Projects. Before that I spent seventeen years in technology — delivery, quality, and program leadership at Cognizant, Infosys, and TCS, including a $7M portfolio and organizations of 150+ professionals.
The classroom turned out to be full of problems worth solving. So I build things: oral assessment tools, anonymous question channels, analytics games, AI tutors. Each one starts as a teaching problem, becomes an experiment, and feeds back into research on how AI is changing what learning and assessment can be.
17Years
Technology industry experience
150+
Professionals led across delivery organizations
$7M
QA portfolio responsibility for a global bank
Ph.D.+ M.Stat.
Information systems and statistics foundation
What I do
Program leadership shapes how I run experiential courses. Statistics shapes how I think. Teaching surfaces the problems. Technology lets me build the response.
Course design, experiential education, analytics instruction, mentoring, and assessment built around application.
Generative AI in the classroom, AI-assisted assessment, and learning applications tested with real students.
Statistics, machine learning, and quantitative reasoning applied to business decisions rather than exam questions.
Turning classroom problems into working applications — designed, built, piloted, and revised.
Large delivery programs, distributed teams, client governance, risk, and execution across industry and academia.
Finding the real problem, designing an experiment around it, and iterating until something works.
Proof in practice
These projects also show how I approach organizational innovation: find a real problem, build a practical response, test it with users, and improve it.
An AI-assisted oral assessment system that asks students to explain their reasoning and responds with follow-up questions.
What it shows: AI workflow design, academic integrity, adaptive questioning, human-centered assessment, practical prototyping.
A low-stakes classroom response and retrieval-practice tool for live learning environments.
What it shows: Behavior-aware design, engagement systems, rapid feedback, learning adoption, classroom-tested iteration.
Analytics concepts taught through simulation and competitive play against live or simulated datasets.
What it shows: Experiential learning, analytics translation, simulation design, decision-making under uncertainty.
A statistics learning companion that turns abstract quantitative concepts into interactive examples.
What it shows: Decision support, quantitative communication, simplification of complex ideas, user-centered learning.
A back channel that allows quiet students to ask questions safely.
What it shows: Inclusive design, psychological safety, communication systems, participation design.
Research agenda
My work on AI and pedagogy organizes around three connected problems.
Getting more students genuinely into the room.
Designing for understanding, not coverage.
Redesigning assessment instead of policing it.
Writing
Three LinkedIn newsletters and one framework for organizational AI strategy.
3,500+ subscribers
Work, ambition, freedom, and defining success.
Explore Unambition Avenue2,000+ subscribers
Innovation, AI, technology, leadership, and implementation.
Explore Ideate Forward Weekly~2,000 subscribers
Teaching, learning, educational technology, and classroom experimentation.
Explore Gamelytics WeeklyFramework
A practical framework for organizational AI strategy: Goal + Investment + Discipline.
Explore the frameworkRecognition
From students, from the school, and from outside the university.
Emerson Excellence in Teaching Award
Emerson Electric Company · 2021
Graduate Business Faculty of the Year
Richard A. Chaifetz School of Business, Saint Louis University · 2021, 2022, 2024, 2026
Beta Gamma Sigma Outstanding Teacher Award
Beta Gamma Sigma · 2023
Delta Sigma Pi Outstanding Faculty Award
Delta Sigma Pi · 2026
Where the work has happened
Seventeen years of technology delivery for global clients, doctoral research in Belgium, and ten years of teaching in a business school — the same problem-solving instinct applied in different rooms.
Interested in AI adoption, analytics transformation, learning innovation, or a problem nobody has framed properly yet?
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