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Biola University

A university-wide innovation ecosystem.

As Professor and Director of Innovation, Dr. Mah is integrating entrepreneurship, AI, faith, and innovation into the daily life of a campus — not as a program, but as a culture.

Students working in Biola's prototype and innovation lab

Showcase

What's live on campus.

Eight interlocking pieces, designed so a student can move from curiosity to a funded venture without leaving the ecosystem.

Office of Innovation

The hub connecting faculty, students, alumni founders, and outside capital.

AI Venture Studio

Student teams building AI ventures with real customers and real advisors.

AI Lab

Applied research and literacy — from coursework to campus-wide adoption.

Prototype Lab

Hardware, fabrication, and the messy middle of making something work.

Entrepreneurship

Curriculum, minors, and mentorship woven across every school.

Startup Competition

An annual pipeline that turns class projects into funded ventures.

Innovation Camp

An immersive sprint that gives students their first taste of building.

Adaptive MBA

A graduate program designed for a world where the job description keeps changing.

Research

Three questions worth a career.

Faith + AI

How theological anthropology should shape the way institutions adopt intelligent systems.

Human Flourishing

Measuring whether innovation actually improves the lives of the people it touches.

Innovation in Higher Education

What it takes for a university to behave like an ecosystem rather than a set of departments.

The vision

A campus that behaves like an ecosystem.

Universities already hold everything an innovation district needs: talent, research, space, convening power, and a mission. What they usually lack is connective tissue — the shared front door, the studio where ideas get built, the capital that shows up early.

The work at Biola is to build that tissue: an Office of Innovation as the front door, an AI Venture Studio as the workshop, labs as the proving ground, and a faith-informed framework that keeps asking whether what we are building helps people flourish.

The measure of success is not the number of programs. It is the number of students, faculty, and alumni who leave having built something that matters — and who stay connected to the people who helped them.

If AI is going to reshape work, universities should be the safest place to ask what work is for.