The SSA Statistical Education Section aims to advance and promote high-quality statistical teaching and learning across all levels of education — from primary and secondary schools to tertiary institutions and industry. The Statistical Education Section committee brings together passionate educators and practitioners with diverse expertise, united by a shared commitment to strengthening statistical literacy and fostering engagement with statistics in Australia and beyond.

Prof Ayse Aysin Bombaci Bilgin 

BEng., MBA, MMaths, PhD, PostGradDip HE (L&T), MHE (L&M)

Ayse is a Professor in the School of Mathematical and Physical Sciences at Macquarie University. She is one of the first 100 women in Australia who have been Professors. She was the President of the International Association for Statistical Education(IASE) (2021-2023) and the Past President of IASE (2023-2025). Ayse is an elected Member of the International Statistical Institute (ISI) and the Vice President (2025-2029). Ayse’s research explores applications of statistics in health sciences and learning and teaching in statistics. She recently became the Co-Chair of Statistical Education of the Statistical Society of Australia (SSA)

If you need more see ahttps://researchers.mq.edu.au/en/persons/ayse-bilgin.

 Dr Karol Binkowski FHEA

Karol is a  Senior Lecturer in Statistics at Macquarie University, Dr Karol Binkowski, engages diverse cohorts through upbeat live lectures that utilise GenAI-enhanced active learning and Peer Instruction. Extending this focus on real-world applications, he also heads the Statistical Consulting Hub, which connects research, industry, and data-driven practice. He seeks collaboration on GenAI education, trialling bold pedagogical interventions, and sharing practices across diverse teaching contexts, as well as building statistical consulting collaborations and new industry partnerships.

Amanda is a Senior Lecturer in the Department of Mathematical and Physical Sciences, and the Teaching and Learning Coordinator in the School of Computing, Engineering and Mathematical Sciences. She teaches statistics to students from a diverse range of disciplines and is passionate about making statistics fun and interesting for all students. Amanda’s contribution to learning and teaching has been recognised with multiple awards, including an Australian Awards for University Teaching (AAUT) Citation for Outstanding Contribution to Student Learning in 2020. Within the Scholarship of Learning and Teaching, Amanda’s research interests include statistics anxiety, assessment and feedback, and game-based learning.