A Celebration of the Mathematical Sciences

Careers | Networking | Diversity | Innovation


We welcome all students, researchers and professionals with an interest in STEM to join us for a relaxed evening of talks and lively discussions!


When: Wednesday 14 July  Time: 5.45pm AEST

Where: Virtual attendance – login details will be sent to registrants and Winter School attendees 24 hours prior to the virtual event.
Please also check the Event Hub listings on the Program Extras page to see if there is a viewing party in your nearest capital city.

NOTE: If you have already registered for the Winter School program, you will automatically be sent the zoom link and do NOT need to register again for this event.

Meet our Speakers

Professor Benjamin Burton (Event MC)

Lecturer and Researcher
The University of Queensland

Benjamin Burton (pronouns he/him) is a professor in the School of Mathematics and Physics at The University of Queensland, where he teaches supercomputers how to untangle knots. His mathematical career has spanned geometry, cryptography and finance, and he has worked since the 1990s with outreach programmes such as the National Mathematics Summer School and the International Olympiad in Informatics. Benjamin is a UQ Ally for LGBTIQ staff and students and serves on the new AustMS Equity, Diversity and Inclusion committee, and has made regular appearances at public events such as the Science Nation, World Science Festival, and the Brisbane Comedy Festival.

Dr Susan Wei

Lecturer and Researcher
The University of Melbourne

Susan is a Lecturer in the School of Mathematics and Statistics at the University of Melbourne. She obtained her Statistics PhD in 2014 at UNC Chapel Hill, USA under the direction of Professors J.S. Marron and Michael Kosorok. Prior to the University of Melbourne, she was a postdoctoral fellow at EPFL, Lausanne Switzerland (2014-2016) and a tenure-track Assistant Professor at the University of Minnesota (2016-2018). She is currently an ARC DECRA fellow working on algorithmic fairness in deep learning. More broadly, she is interested in the theoretical underpinnings of deep learning through such tools as singular learning theory.

Associate Professor Anastasios Panagiotelis

Lecturer & Researcher – The University of Sydney Business School
Director – International Institute of Forecasters

Anastasios Panagiotelis is an Associate Professor of Business Analytics at the University of Sydney Business School. He is also a Director of the International Institute of Forecasters. His work lies in the intersection of business analytics, statistics and econometrics. He conducts research on the development of novel statistical methodology and its application to large scale datasets in energy, macroeconomics and online retail.

Anastasios led the Australian Research Council Discovery Project “Macroeconomic Forecasting in a Big Data World”. This project saw the launch of www.ausmacrodata.org, a website that enables researchers to easily search for and download data on over 40,000 Australian macroeconomic variables.

He has published in a diverse range of top-tier journals including the Journal of the American Statistical Association, Journal of Econometrics, European Journal of Operational Research, Journal of Business and Economic Statistics, Journal of Computational and Graphical Statistics and Insurance: Mathematics and Economics. Anastasios received his PhD from the University of Sydney and was previously a member of Faculty at the Department of Econometrics and Business Statistics at Monash University and an Alexander von Humboldt Postdoctoral Researcher at the Chair of Mathematical Statistics at the Technical University of Munich.

Associate Professor Roslyn Hickson

CSIRO and James Cook University

A/Prof Roslyn Hickson joined CSIRO and James Cook University as Science Leader for Emerging Infectious Diseases in June 2020. Her research is on mathematical modelling of infectious diseases to informing policy and practice.

Roslyn completed her PhD through UNSW Canberra in 2010, where her research on heat and mass transfer was awarded the Ria de Groot prize. Roslyn became a Research Fellow at the National Centre for Epidemiology and Population Health, ANU. In December 2011 she was awarded a four year University of Newcastle Research Fellowship. Roslyn joined IBM Research Australia in May 2014, during which she was named a finalist for the EmTech Asia Innovators Under 35 list by MIT Technology Review in 2016 and 2017. Roslyn joined The University of Melbourne as an Australian Centre of Research Excellence in Malaria Elimination Research Fellow in July 2018. She was awarded one of the Victorian Young Tall Poppies in 2018.

Professor Mat Simpson

Lecturer & Researcher
Queensland University of Technology

Mat is a Professor of Mathematics at Queensland University of Technology. Formerly, he held positions as an Australian Research Council Future Fellow (2014-2018) and as an Australian Research Council Postdoctoral Research Fellow (2006-2009). In 2012, Mat was awarded the JH Michell Medal for excellence in research by ANZIAM (Australian and New Zealand Industrial and Applied Mathematics), a division of the Australian Mathematical Society. In 2020 he was awarded the EO Tuck for outstanding research and distinguished service by ANZIAM.

Earlier in 2021 Mat was interviewed by Cosmos Magazine about mathematical biology, and the future of mathematical biology. Last year he spoke on the Random Sample podcast . Mat’s QUT Research Snapshot summarises the aims of his research group.

Mat’s primary area of expertise is the use of computational techniques for solving differential equations and studying interacting random walk models. Using computation, together with a range of techniques from applied mathematics, Mat studies several physical and biological processes. Previous research has involved studying flow and transport processes in porous media, salt water intrusion, the design and analysis of efficient methods for solving reaction diffusion equations and the implementation of high performance shock capturing schemes to study chemotactic travelling waves.

More recent research interests include the study of collective cell migration, adhesive cell migration, moment dynamics models of cell population behaviour and lattice free random walk models. Studying problems from a wide range of fields has given Mat the opportunity to interact with several collaborators including applied mathematicians, statisticians, experimental cell biologists and civil engineers.

Brooke Jamieson

Head of Enablement – AI/ML and Data

Brooke is the Head of Enablement – AI/ML and Data at Blackbook.ai, an Australian based consulting firm specialising in automation, artificial intelligence, data and digital. Brooke has degrees in Mathematics and Data Engineering, and combines this with professional experience to work together with clients to consult, deploy and nurture intelligent solutions. Overall, they specialise in researching & developing technically robust solutions that help “non-data people” harness the power of AI for their industry, and communicate this effectively.

Outside of their ‘day job’, Brooke speaks at Data, AI, Software Engineering, UX and Business conferences and events to Australian and international audiences, and has guest lectured at the University of Queensland Business School. Brooke is proudly a volunteer member of the Queensland National Science Week Committee, and is always on the lookout for new ways to promote STEM pathways to young people, especially young women and members of the LGBTIQA+ community from regional Australia.

Public Lecture

Join us on Thursday 22 July for Data Detectives on the Trail of Black Hole Mergers.
ALL are welcome for this FREE ONLINE lecture.