Joshua works on a variety of topics at the interface of global change, environmental, and social sciences through applied modeling and computational projects. He leads teams at the center for Robust Decision-making in Climate and Energy Policy (RDCEP) and in the Agricultural Modeling Intercomparison and Improvement Project (AgMIP).
Joshua has pioneered techniques that apply high-performance computing and large-scale high-resolution data and modeling to challenges of climate and society from local to global and seasonal to multi-decadal scales. Joshua also works on in-season projection of agricultural production, the effects of large-scale extreme events (such as droughts and heat waves), food-system risk, and with socio-economic modeling and scenario analysis in the context of integrated assessments.
In a former life, Joshua received his PhD in high-energy theoretical particle physics from McGill University in Montreal Canada.
Ian is an internationally renowned computer scientist with a long record of influential contributions in high-performance computing, distributed systems, and data-driven discovery. Sometimes referred to as the “father of the grid,” he has led projects that have produced software systems and scientific computing environments used by tens of thousands of researchers worldwide. He has published hundreds of scientific papers and six books on these and related topics.
Ian is a Professor of Computer Science at the University of Chicago, a Distinguished Fellow at Argonne National Laboratory, and Director of the Computation Institute. He is also a fellow of the American Association for the Advancement of Science, the Association for Computing Machinery, and the British Computer Society. His many awards include the British Computer Society’s Lovelace Medal, honorary doctorates from the University of Canterbury, New Zealand, and CINVESTAV, Mexico, and the IEEE Tsutomu Kanai award.
Ian has a Bachelor of Science (Hons I) from the University of Canterbury and a Doctor of Philosophy from Imperial College, UK, both in computer science.
David’s area of expertise are systems programming and high performance computing. While working towards a degree in computer science from Shippensburg University of Pennsylvania, he was awarded a stipend by Google Summer of Code to make several improvements to the Swift parallel scripting language. Following successful completion of his project, he went on to work full time with the Swift development team at the University of Chicago’s Computation Institute. David’s recent work has been related to running large-scale crop model simulations in parallel on a variety of grids, clouds, clusters, and supercomputers.