David Mace is an associate at Caltech, where he is a candidate for a bachelors degree in Computer Science.

At 17 years old, David published a novel machine learning technique to classify gesture interface motions in a major computer science journal (ACM IUI) as one of its youngest ever authors. At 18, he sold a war prediction algorithm to USAID. At 19, he was offered the Thiel Fellowship to drop out of Caltech and pursue real-world prediction algorithms full-time, but decided to return to Caltech.

He has been the youngest member of IBM Watson’s core research team developing natural language processing algorithms for text understanding and the youngest member of Facebook’s Applied Machine Learning Group leveraging text understanding to improve Facebook’s ad-targeting models.

He spends most of his time trying to convince people that in a century, war will not exist because algorithms will allow us to forecast population-level effects of our political actions. He has spoken on the topic at TEDx Teen, Young President’s Organization LA, and SXSW (accepted March 2016). He has also delivered a joint Q&A with Ray Kurzweil on the future of AI at SAP Global CEO Summit.

As a freshman at Caltech, he co-founded Hacktech, the first large-scale college hackathon on the West Coast, which raised a quarter million dollars and was attended by over 1200 students.

David has also worked at NASA JPL building a Mars telemetry data analysis tool used daily by JPL scientists to detect early indications of critical malfunctions in the Mars rover, at Mousera making automated feature detection systems for lab mice in pharmaceutical drug testing centers, and at Zekira building systems for near real-time search and display of massive amounts of diverse user data. Before joining Alsop Louie, David held a similar role for Lightspeed Venture Partners.

David is an avid traveller and has solo backpacked around five continents since entering college two years ago. He also once starred in a pilot for a TBS reality TV show about pranking people with science, but quickly realized that he should stick to technology rather than acting.