
معرفی
Karol Binkowski is a Senior Lecturer in Statistics at the School of Mathematical and Physical Sciences, Macquarie University. He holds a PhD in Statistics (2009) from Macquarie University and a Master of Science in Mathematical Finance (2003) from Jagiellonian University. With seven years of experience as a Quantitative Analyst at Westpac Group, he transitioned to academia with a focus on statistics education and leadership.
His teaching portfolio includes courses such as Introductory Statistics, Applied Statistics, and Statistical Inference, delivered in both face-to-face and online formats. He actively contributes to academic governance through roles in committees like the School Equity, Diversity, and Inclusion Committee and the Faculty AI Working Group 2024.
Research interests span applications of statistics to financial markets (e.g., state-space models for crude oil futures) and pedagogical innovations, including peer instruction and mastery learning. His work bridges statistical theory with practical education challenges, emphasizing student engagement and threshold concept mastery.
Key recognitions include the 2023 Award for Excellence in Early Career Teaching and collaboration awards for inter-school initiatives. He has supervised research projects on liquidity management for automated market makers and contingent claims frameworks, reflecting his dual focus on finance and education.
Binkowski’s publications span statistical pedagogy and financial modelling, with recent work addressing peer instruction strategies and online learning effectiveness in service units.




