Iris Jiang

Iris Jiang is a Lecturer (Teaching and Leadership) in the School of Mathematical and Physical Sciences at Macquarie University. She focuses on data literacy, coding, programming, and computational reproducibility using tools like R Markdown/Quarto and Git/GitHub. Her teaching includes undergraduate units such as STAT1378 and STAT2170/6180, and postgraduate courses like STAT7107/8107 and STAT7111/8111.

Education:

• Graduate Certificate of Education (Macquarie University, 2023)
• PhD in Commerce (University of Sydney, 2020)
• Bachelor of Commerce (Honours) (University of Sydney, 2015)

Her research interests include Machine Learning, Prediction, and their applications in business and economics. She leads initiatives like the ASA DataFest, a global data analysis competition, and the YOU VIZ sustainability data visualization challenge, fostering student engagement with real-world problems and UN SDGs.

Awards & Grants:

• Recipient of the Faculty of Science and Engineering Teaching Development Grant (2022, 2024)
• Award for Inter-Departmental Collaboration ([EX]plore Conference, 2022)
• Winner of the Inter-School Collaboration Award (2023)

She actively promotes employability and interdisciplinary collaboration through teaching and leadership roles, contributing to Macquarie’s reputation in STEM education.