Please Scroll:  Professor Mark Briers; Professor Benoit Liquet; Dr Jegar Pitchforth; Professor Heikki Haario
Professor Mark Briers, The Alan Turing Institute

mark-briers_1000x782Mark Briers is Programme Director for The Alan Turing Institute’s Defence and Security partnership and Professor of Cyber Security and AI at Cranfield University. Prior to joining Turing, Mark worked in the defence and security sector for over 16 years, directing research programmes in the area of statistical data analysis, and leading large teams to drive impactful research outputs. He completed his PhD in 2007 at Cambridge University where he developed Sequential Monte Carlo based techniques for state-space filtering and smoothing.

He is an Honorary Senior Lecturer at Imperial College London, where he teaches methodological techniques for use in a Big Data environment and conducts research into statistical methods for cyber security, and he is a Council Member at the Royal Statistical Society. He is an Industrial Fellow alumnus of the Royal Commission for the Exhibition of 1851. Mark is a co-investigator on the EPSRC funded programme grant Computational Statistical Inference for Engineering and Security.

Mark is also Co-Chair of the Institute’s Research and Innovation Advisory Committee, which steers scientific direction at the Turing.

Invited Talk:
Alan Turing, Bayes, and model selection with MCMC

Invited Tutorial:
Big data: tools and statistical methodology

Professor Benoit Liquet,     Université de Pau et Pays de l’Adour, France;  ACEMS, Queensland University of Technology, Brisbane, Australia

Benoit Liquet is a Professor at Université de Pau et Pays de l’Adour, France. In addition he is affiliated with ACEMS (Centre of Excellence for Mathematical and Statistical Frontiers), Queensland University of Technology. He was previously senior lecturer in Statistics at the University Of Queensland (from 2013-2015), Senior Investigator Statistician at MedicalResearch Council Biostatistics Unit in Cambridge (from 2012-2013), Associate Professor at Bordeaux University (from 2017-2012). Throughout his career he has extensively worked in developing novel statistical models mainly to provide novel tools to analyse clinical, health and biological data arising from epidemiological studies. More recently (since 2011), he moved to the field of computational biology and generalised some of these methods so that they scale to high throughput (“omic”) data. In his new position at UPPA, Benoît Liquet is an active member of the LMAP (Laboratory of Mathematics and Its Applications – UMR CNR 5142) and a member of MIRA (“Milieux et resources aquatiques”) where he is developing an interest in how climate change impacts marine ecosystems.  

Invited Talk:
Leverage pleiotropic effects from genome-wide association studies using both frequentist and Bayesian sparse group models 

Dr Jegar Pitchforth,, B.V.

Jegar has been working as a Data Scientist for  in Amsterdam for the last Jegarfour years. He works as the quantitative member of his team, advising on experiment design and analysing data in projects with a large collection of stakeholders. He has a background in Complex Systems modelling, and is interested in how these methods can be applied particularly to social, technical, and economic systems that are difficult to measure, stochastic, and unmistakably human.

Invited Talk:
Taking the Commercial path: A case study in the early career experience for Statisticians.

Professor Heikki Haario, Lappeenranta University of Technology, Finland

Heikki Haario is currently professor of applied mathematics at the Lappeenranta University of Technology  (LUT) and a research professor at the Finnish Meteorological Institute (FMI), Helsinki.  He is known for his work on Bayesian sampling methods, especially adaptive MCMC.  Heikki Haario

His research interests include statistical methods for inverse problems, assimilation and filtering methods for high dimensional systems, parameter identification of NWP (Numerical Weather Prediction) models, chaotic and stochastic dynamics.

Invited Talk: 
Statistics for chaotic dynamics and random patterns

We would like to acknowledge and thank our sponsors for this event:

  • Bayesian Statistics Section of the Statistical Society of Australia. (SSA)
  • ARC Centre of Excellence for Mathematical & Statistical Frontiers (ACEMS)
  • Queensland University of Technology (QUT)
  • Bayesian Research & Applications Group (BRAG)
  • Australasian Chapter of the International Society for Bayesian Analysis (ISBA)
  • 4am Software Pty Ltd (4am Software Pty Ltd)