Jonathan M. Borwein is currently Laureate Professor in the School of Mathematical and Physical Sciences and Director of the Priority Research Centre in Computer Assisted Research Mathematics and its Applications at the University of Newcastle. An ISI highly cited scientist and former Chauvenet prize winner, he has published widely in various fields of mathematics, especially optimisation and mathmetical computation. His most recent books are Convex Functions (with John Vanderwerff, vol 109, Encyclopedia of Mathematics, Cambridge University Press, 2010), Modern Mathematical Computation with Maple (with Matt Skerritt, Springer Undergraduate Mathematics and Technology, 2011) and Lattice Sums Then and Now (with Glasser, McPhedran, Wan and Zucker, vol 150, Encyclopedia of Mathematics, Cambridge University Press, 2013).

Roderick Dewar graduated in mathematical physics from the University of Edinburgh (1982), where he also gained his PhD (1986) in the statistical mechanics of phase transitions. Following further postdoctoral research in the same field he underwent his own phase transition to biology in 1989. After holding various posts in the UK, Australia and France, he joined the ANU in 2008. His current research explores non-equilibrium behaviour in biology and physics from the unifying viewpoint of entropy.

Anne-Marie Grisogono is a Research Leader in the Land Division of the Defence Science and Technology Organisation. An atomic and molecular physicist by training, she has worked on systems design, modelling and simulation, developing DSTO’s Synthetic Environment Research Facility for defence capability development; and initiated an enabling research program into applications of complex systems science to address defence problems and future warfare concepts. Current research interests are in improving the methodologies and tools applied to dealing with complex problems.

David W. Hogg is an astronomer at New York University. He works on inference, measurement, and discovery problems in astrophysics, from cosmology to exoplanets. He works on astronomical data analysis and is attracted to astronomical problems in which precision requirements are high, signals are hidden in noise, or there are enormous numbers of nuisance parameters. His group has developed pioneering uses of probabilistic inference and decision theory in the astrophysics domain.

Marcus Hutter is Professor in the Research School of Computer Science at the Australian National University in Canberra, Australia. He received his PhD and BSc in physics from the LMU in Munich and a Habilitation, MSc, and BSc in informatics from the TU Munich. Since 2000, his research is centered around the information-theoretic foundations of inductive reasoning and reinforcement learning, which has resulted in 100+ publications and several awards. He is the author of the book "Universal Artificial Intelligence" (Springer, EATCS, 2005), and also runs the Human Knowledge Compression Contest (50'000€ prize).

Kerrie Mengersen is a Professor of Statistics at QUT. She has strong parallel interests in Bayesian methods and their application to a range of problems in health and the environment. Her methodological interests include hierarchical and mixture models, priors, complex systems models and efficient computation.

Iain Murray is a SICSA Lecturer in Machine Learning at the University of Edinburgh. He moved into Machine Learning from Physics after taking David MacKay’s undergraduate course in Cambridge. He obtained his PhD in 2007 from the Gatsby Computational Neuroscience Unit at UCL, under Zoubin Ghahramani. He was a commonwealth fellow in Machine Learning at the University of Toronto, before moving to Edinburgh in 2010. His research interests include building flexible probabilistic models of data, that can be applied widely: to cosmology, images, neuroscience, perception, speech, sports, text, and beyond. Iain has developed several Markov chain Monte Carlo (MCMC) methods for performing inference in these models.

Bernd Noack and his international team work on closed-loop turbulence control solutions for greener traffic. He has co-authored 1 book, 2 patents, and over 100 publications. He is Director of Research at CNRS, Head of one of France's few ANR Senior Chair of Excellence, Fellow of the American Physical Society, and recipient of numerous national and international awards and honours.

Vijay Singh is a Distinguished Professor and holds the Caroline and William N. Lehrer Distinguished Chair in Water Engineering at Texas A & M University, College Station, USA. For four decades, Professor Singh has been a leader in the research, teaching and service of hydrologic, hydraulic and water resources engineering. He is the recipient of 56 national and international awards, including the Arid Land Hydraulic Engineering Award (2002), Ven Te Chow Award (2005), Ray K. Linsley Award (2006), Richard R. Torrens Award (2009) and Norman Medal (2010). Prof. Singh has made substantial contributions to many discipline areas, including the development of maximum-entropy models of constructed and natural flow systems.

David Warton is an Associate Professor of Statistics and Australian Research Council Future Fellow at UNSW. He trained jointly in statistics and ecology and has interests at the interface between these two disciplines - improving the methods by which data can be used to answer important ecological questions, especially in allometric line fitting, multivariate analysis and species distribution modelling. He has recently studied equivalences between maximum entropy and classical regression approaches, which have very deep connections and important methodological implications.