Jeffrey Donatelli is a computational staff scientist who leads the Mathematics for Experimental Science Group in the Mathematics Department at Berkeley Lab. He is also the deputy director and math lead of the Center for Advanced Mathematics for Energy Research Applications (CAMERA). He was a DOE Computational Science Graduate Student Fellow from 2009 to 2013 and received his Ph.D. in applied mathematics from UC Berkeley in 2013. His research interests include numerical analysis, computational harmonic analysis, and high-performance computing applied to problems in imaging. His recent work has focused on developing new mathematics and algorithms to solve challenging inverse problems arising from emerging X-ray experiments, including fluctuation X-ray scattering, single-particle diffraction, X-ray nanocrystallography, coherent surface scattering imaging, and more.
Andrew Lensen is a Senior Lecturer (Pūkenga Matua) in Artificial Intelligence (Atamai Horihori) at the School of Engineering and Computer Science and Centre for Data Science and Artificial Intelligence at Te Herenga Waka — the Victoria University of Wellington, New Zealand
Mengjie Zhang is the director of the Te Whiri Kawe – the Centre for Data Science and Artificial Intelligence at the Te Herenga Waka — the Victoria University of Wellington, New Zealand. He also heads the interdisciplinary Research Group of Evolutionary Computation and Machine Learning.
Julian Maclaren is a board of director at the Nelson AI Institute. He spent four years as a scientist in Freiburg, Germany, at one of Europe’s leading MRI research labs and six years in Silicon Valley, mainly at Stanford University. Julian is the inventor of a number of patents relating to computer vision, motion tracking and MRI, many of which have been commercialised.