WHO I AM

About Beomsu Chang

I’m a Principal Data Scientist based in Singapore, working at the intersection of industrial AI, simulation, and manufacturing systems. My background spans engineering research, semiconductor manufacturing, university teaching, startup founding, and leading data science teams across different industries and cultures.

I’m not a generalist who dabbles in AI — and I’m not an AI theorist disconnected from physical systems. Most of my work has been about making technology useful in environments where reliability, interpretability, and operational fit matter more than benchmark scores.

This site is where I think out loud: about technology, leadership, the realities of building useful things, and occasionally, life beyond the office.

WHAT I WORK ON

Areas of Focus

Industrial AI

Applying machine learning and data science to complex manufacturing and operational systems — with a focus on what actually works in production environments.

Digital Twin & Simulation

Building and using simulation models and digital twins to understand, predict, and improve real-world industrial systems before making costly changes.

Smart Manufacturing

Exploring how automation, sensing, and decision intelligence come together to improve manufacturing performance and adaptability.

Technical Leadership

Working across functions to align technical teams, communicate complex ideas clearly, and create environments where good engineering can happen.

Teaching & Knowledge Transfer

I’ve taught at university level and continue to value clear explanation as a core professional skill — whether in writing, presenting, or mentoring.

Building & Entrepreneurship

Having founded an AI startup, I understand the gap between building something that works in a lab and something that survives contact with real users and real organisations.

CAREER JOURNEY

A Non-Linear Path

My career hasn’t followed a straight line — and I think that’s been an advantage.

DOCTORAL RESEARCH

Industrial Engineering PhD

My foundation. Systems thinking, quantitative modelling, and the discipline of asking precise questions about complex problems.

INDUSTRY

Semiconductor Manufacturing

Working in one of the most technically demanding manufacturing environments in the world. Where I learned that real systems are messier — and more interesting — than any textbook suggests.

ACADEMIA

University Professor

Teaching industrial engineering and operations research. Developing curricula, supervising research, and discovering how hard it is to explain something you understand deeply to someone who doesn’t yet.

ENTREPRENEURSHIP

AI Startup Founder

Built a company from the ground up — product, team, customers, everything. Learned more from what went wrong than what went right. I write about this honestly.

CURRENT

Principal Data Scientist, Singapore

Leading data science work in an industrial context, based in Singapore. Focused on practical AI — the kind that makes it past the pilot stage.

I share both the wins and the failures — because the failures are usually more instructive.

WHAT I WRITE ABOUT

On This Site

I write about the ideas I find genuinely interesting and the experiences I think are worth sharing — not to build a personal brand, but because writing is how I think clearly.

Industrial AI & Digital Twin

Technical perspectives on applying AI in manufacturing and industrial systems.

Career & Leadership

Transitions, lessons, and what it actually takes to lead technical teams.

Building & Business

Startup experiences, product thinking, and the gap between good ideas and working products.

Singapore Life

Building a life in a city that still surprises me — observations, not expat clichés.

Dad & Family

Raising two daughters abroad, balancing ambition with presence, and the parts of life that matter most.