Ryan Steed

I am a researcher, data scientist, and project manager. Currently, I am a PhD student at Carnegie Mellon's Heinz College of Information Systems & Public Policy. Previously, I studied Computational Economics at the George Washington University. I am also an alum of the North Carolina School of Science and Mathematics.


My research interests span fair and moral AI, computational economics, and philosophy of mind. I apply computing technology to social problems.

My undergraduate work was advised by Aylin Caliskan, Rahul Simha, and Ben Williams.



Heuristic Moral Machines

As automation proliferates and algorithms become increasingly responsible for high-stakes decision-making, AI agents face moral dilemmas in fields ranging from market design to robots. To lower the barrier to training moral agents, this research develops a heuristic-based weak learning approach to moral decision-making.

Evolution of Innovation

Innovation is important to growth and welfare, and nations sponsor research and craft legislation to encourage it. But how can we measure the impact of these investments? This research measures the spread of innovation with patent citation network analysis and explores the effect of recent legislation on knowledge flows between inventions.

Virtual Jane

The Virtual Jane project tells the story of Jane Goodall (primatologist, conservationist, and childhood hero) in a virtual reality mobile application. The GW Innovation Center is also developing new curriculum programs to teach young leaders to be environmental advocates.


Interactive Web Physics Version 5 is an HTML5/JavaScript/D3 physics simulation applet built for classroom use. Build and visualize physics simulations using parametric and Euler's calculations.

Star Skirmish

Star Wars meets Galaga in this arcade-style 2D space shooter, built with Java Swing GUI. Fly your X-Wing across a beautiful starscape, blasting the Death Star's TIE fighters. Turn on your sound to hear the original NAMCO Galaga soundtrack and sound effects.


To communalize the fashion process, the Thisfits team is building a streamlined social media app for real-time fashion feedback and documentation. Thisfits features social feeds where friends and strangers can collaborate on outfits and pieces.