associate professor · colorado state university

Thanks for visiting my website. I’m an economist who studies happiness, entrepreneurship, and AI — the human (and not so human) side of markets, work, and innovation. My research looks at why people take risks to start new ventures, how work shapes well-being, and how AI, institutions, and luck influence who gets ahead. Across these projects, I’m interested in how business can create better lives.

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01 by the numbers

The Completely Unnecessary Name Peak Calculator

Some people peak in high school. Some peak in midlife. Apparently, I peaked in 1970 — before I was born — and have zero plans to peak again. Curious when you peaked?

Interactive search of US baby-name popularity from 1880 to 2024, plotting how often a name was given over time, marking its peak year, comparing up to three names.

Try:

Based on U.S. Social Security data, 1880–2024.

02 research

Explore my research.

My research includes over 50 peer-reviewed publications, including a dozen articles in premier journals such as JBV, ETP, JAP, SEJ, and JIBS. My work has been featured in the Economist, Forbes, TechCrunch, the Atlantic, and many other media outlets. I have been honored to receive multiple research excellence awards, including the Habicht Early Career Research Award and the Business for Better World Research Award.

the papers

We like to think success is mostly skill. But what happens when a hundred brilliant, highly skilled people chase the same job, grant, or journal publication? As the gap between their skills shrinks, who wins quietly tips from merit toward luck — the paradox of skill. And now what happens when everyone can use the same AI tool to polish their résumé, paper, or portfolio? Observed differences in skill shrink even further. The more AI makes everyone look alike on paper, the more luck — not merit — decides who actually wins the race. Play with the simulation below to see the effect.

When Merit Meets Noise · based on my working paper

Interactive scatter plot showing how acceptance rate and evaluation noise determine what share of selected applicants would also be chosen on true merit, illustrating the role of luck in extreme selection.

The threshold lottery

True skill vs. evaluation luck

Each dot is one of 1,500 applicants to an elite pool. The vertical axis is the random luck of their evaluation; the horizontal axis is their underlying skill. The cutoff is a lottery in disguise.

Selected — earned it Selected — got lucky Talented, rejected (skill ≥ 90) Rejected
12%
0.5%50%
25%
5%85%
Selected 90
Winners’ avg luck
Got in on luck 63%
What the evaluator sees true skill with AI polish

Based on the selection model in my working paper When Merit Meets Noise.

03 in the classroom

In the classroom.

In the classroom, my passion for innovative teaching has earned recognition from the Academy of Management. I have also received several university-wide teaching awards, including the William H. Fox Teaching Award for Emerging Excellence (Emory University), the N. Preston Davis Award for Instructional Innovation (Colorado State University), the Provost Award for Outstanding Teaching (University of South Florida), and the Innovation in Entrepreneurship Pedagogy Award (AOM ENT Division).

courses I teach
Strategic Management Capstone — course collage
Colorado State · current

Strategic Management (Capstone)

The senior capstone at the College of Business at CSU.

AI & Strategic Value Creation — course collage
Colorado State · current

AI & Strategic Value Creation

Experimental class on how firms create, capture, and defend value — and how AI is quietly rewriting the playbook for competitive advantage.

what students say
BN Terminal — Student Sentiment ▲ STRONG BUY
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// NOTE: Every line here is an actual, verbatim quote from anonymous student course evaluations — cherry-picked, yes, but not a word changed. (Did I bring cookies on evaluation day? Maybe. Did it influence these reviews? Absolutely not — correlation isn’t causation, right?)
let’s play a game
take a break · a quick game of tic-tac-toe

Can you beat me at Tic-Tac-Toe?

You’re X and you go first. Get three in a row — across, down, or diagonally — to win. Give it a shot. Good luck!

You’re X — your move.
0You
0Ties
0Me

Three in a row wins — diagonals count.

04 a workshop for AI Horizons

AI Tools for Data Analysis: from chatbots to coworkers.

A hands-on workshop I teach for AI Horizons — for researchers and professionals who want to learn how to use AI efficiently. The workshop demonstrates, through hands-on exercises, how you can use tools such as Cowork and Claude Code to automate data analysis workflows.

the case file · stories built in the course
course data story
Nobody has ever scored a nine
course data story
the geography of a good life
course data story
what money can & can't buy
course data story
the shape of the data
course data story
reading the model
course data story
the receipts, visualized
05 consulting

Work with me.

I regularly work with businesses and organizations to problem-solve and come up with creative solutions.

01 · Speaking & workshops

50+ talks & workshops delivered

I've given 50+ workshops and talks — on AI, well-being, entrepreneurship, pedagogy, and more — for universities, conferences, and teams.

02 · Consulting & advisory

AI & well-being

I advise universities, companies, and organizations on AI and well-being — where the tools genuinely help, how to adopt them wisely, and how it all ties back to people who thrive rather than burn out.

03 · Expert witness & analysis

Rigor that survives cross-examination

Independent economic and statistical analysis for litigation and disputes — careful, plainly explained, and built to stand up under scrutiny.

04 · Freelance

Websites & data projects

Freelance, project-based work — websites, dashboards, and data projects — designed, built, and delivered end to end.

Let's talk.

A short engagement or standing advisory, a keynote or a contract analysis — tell me what you're trying to do.

Start a conversation
06 off the clock

Life, in pictures.

A few pictures of places I've visited with people I love.

View the full gallery & videos