معرفی
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.
