International Academic Advisory Board

International Advisory Board

MISCADA relies on an international advisory board. The board members visit our course from time to time, and they give valuable feedback on the course content and vision. Choosing national, European and international experts as well as experts from physics, computer science, and statistics and machine learning, ensures that the opinions we gather and that affect our curriculum match MISCADA’s multifaceted, international, multidisciplinary profile.

Kyle Cranmer

Kyle Cranmer is a Professor of Physics and Data Science at New York University. He is an experimental particle physicists working, primarily, on the Large Hadron Collider, based in Geneva, Switzerland. Cranmer developed a framework that enables collaborative statistical modeling, which was used extensively for the discovery of the Higgs boson in July, 2012. His current interests are at the intersection of physics, statistics, and machine learning.

Thomas Huckle

Thomas is Associate Professor in HPC and Linear Algebra in Scientific Computing at TU München, Germany. Some of his contributions mainly fall into the areas of preconditioning of large sparse linear systems and tensor product approaches as used for high-dimensional data. Throughout his career, Thomas has been heavily involved in the design and implementation of Munich’s MSc on Data Engineering and Analytics.

Geoff Nicholls

Geoff is a Fellow in Statistics at St Peter’s college Oxford and an Associate Professor in the Statistics Department in Oxford, where he was Head of Department 2012-2015. He completed his PhD in Particle Physics at DAMPT in Cambridge in 1990. He worked in the Mathematics Department in Auckland, New Zealand 1995 to 2005, moving to Oxford in 2005. In his research Geoff seeks new applications for statistical modelling, developing new computational methods and solving problems of real scientific interest. He has publications in journals in Statistics, Statistical Mechanics, Applied Mathematics, Plant Science, Cognitive Science, Oceanography, Genetics, Archaeology and Philology..