About

I am an applied economist with a background that spans engineering, statistics, and economics. I started my career as a software developer, which taught me how systems are built. Graduate training in statistics and economics taught me how to extract rigorous signal from data. That training shaped how I think about causal identification, meaning how to credibly estimate the effect of an intervention when randomization is not possible. It also deepened my interest in industrial organization: how markets are structured, how firms price and compete, and how economic analysis informs antitrust and competition policy. Over two years of client advisory work at Digonex taught me how to turn rigorous analysis into decisions organizations act on.

My doctoral research at Iowa State University focused on developing dynamic structural econometric models of the U.S. beef cattle industry, with applications to disease outbreak scenarios and agricultural policy analysis. Calibration required designing a semi-genetic optimization algorithm combining biological population dynamics with market equilibrium conditions, an approach I developed because standard methods were insufficient for the problem structure. That work required building complex models from scratch in an unfamiliar domain using real industry data, a skill that translates naturally to consulting work. My working papers apply the same modeling philosophy beyond agriculture: start with the economics, build the framework carefully, and state plainly what the analysis can and cannot show. One studies profit-aware pricing in two-sided e-commerce marketplaces. The other builds a structural demand model and merger simulation for the blocked JetBlue-Spirit merger, using a constructed dataset calibrated to public case information.

At Digonex I worked as an economist and pricing advisor to 20+ ongoing client accounts across the U.S., U.K., and Canada, leading pricing strategy. That meant conducting strategy sessions, presenting findings to executives, convincing skeptical clients to change how they price their products, and staying accountable for results across a portfolio of relationships over multiple years. Across these engagements, my pricing recommendations contributed approximately $27M in incremental revenue through demand estimation, experimentation, and pricing optimization.

I am based in Indianapolis and am open to Chicago-based, remote, and Indianapolis roles.

Education

  • PhD, Economics, Iowa State University
  • MS, Statistics, Iowa State University
  • MS, Information Systems, Iowa State University
  • B.Tech., Electronics and Communication Engineering, CVR College of Engineering

Outside of Work

Aside from building models and working with data, I enjoy vegetable gardening, cooking, reading, and listening to podcasts. I lift weights regularly and rock climb both indoors and outdoors. I have climbed at Joshua Tree National Park in California, Fern in Arkansas, and Devil's Lake in Wisconsin.

Some books I have enjoyed:

  • Economics Without Equilibrium, W. Brian Arthur
  • Causal Inference: The Mixtape, Scott Cunningham
  • The Rational Optimist: How Prosperity Evolves, Matt Ridley
  • The Evolution of Everything: How New Ideas Emerge, Matt Ridley
  • Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing, Ron Kohavi, Diane Tang, Ya Xu

Podcast I return to regularly: EconTalk hosted by Russ Roberts.

Some of my outdoor climbing adventures