Joshua has been driving innovation in science and technology for more than 15 years in academia, government, and philanthropy.

At DARPA he created, ran, and transitioned programs generally in the area of “AI for Science” (computational science, data science, climate science, water/food/conflict, synthetic biology, epidemiology, systems biology, etc.). Tangential obsessions led to additional efforts in domains such as Artificial Social Intelligence, AI for education, machine-assisted complex systems analysis and planning, optimal multi-species teaming (think canines+humans+drones), AI to advance discovery of critical minerals and natural hydrogen, and hybrid collective intelligent networks to reimagine institutional structures to optimize information flow and decision-making.

Prior to that Joshua spent almost 10 years in academia doing computational climate economics and energy systems modeling, climate extremes, and climate impacts in hydrology, agriculture, migration and conflict (at the University of Chicago and Argonne National Lab).