"How to Solve War with Math" - David Mace

At 17, David was one of the youngest authors to be published in a major computer science journal (ACM Intelligent User Interfaces) for his novel machine-learning technique to classify gesture interface motions. At 18, David sold a war prediction algorithm to the United States government for use in directing its international aid efforts.


At 17, David was one of the youngest authors to be published in a major computer science journal (ACM Intelligent User Interfaces) for his novel machine-learning technique to classify gesture interface motions. At 18, David sold a war prediction algorithm to the United States government for use in directing its international aid efforts. He was chosen as a Thiel Fellow for this accomplishment, but opted to continue his education and war prediction work at the California Institute of Technology, where he is currently a sophomore.

David has also built artificial intelligence algorithms for IBM Watson’s Jeopardy-beating system, created data analytics tools for NASA Jet Propulsion Lab’s Mars Rover and worked with Lightspeed Venture Partners to identify investments in young entrepreneurs.

2015Valerie Grant