Teaching

I’m a core teaching team member in the Master of Data Science and Innovation degree at the University of Technology Sydney. I coordinate and teach the following subjects:

36118: Applied Natural Language Processing

36105: Innovation Lab iLab 2

36106 Machine Learning Algorithms and Applications (Previous version: Data, Algorithms and Meaning)

36102: Innovation Lab iLab 1

94692: Data Science Practice

36100: Data Science for Innovation

94691: Deep Learning (Subject coordinator)

36200: Arguments, Evidence and Intuition, an undergraduate course at UTS which teaches quantitative literacy, basic statistics and critical thinking skills.

• Doctoral candidate (2022 – Ongoing): Ajanie Madhubhashi Karunanayake Kodagoda. Supporting Information Problem Solving in the Age of Misinformation and Generative AI: A Socio-Technical Approach.
• Doctoral candidate (2023 – Ongoing): Forooq Baradaran Zarrabi. Learning Analytics for feedback on discourse synthesis – finding your voice in writing.
• Doctoral candidate (Forthcoming): Mohsen Ebrahimzadeh. Examining the Effects of Artificial Intelligence on Creative Writing and Motivation.
• Study Abroad Program Research Internship at VIT, India (2022-2023): Srivarshan Selvaraj, Faerie Mattins