teaching

I teach in the Master of Data Science program at Monash University, Indonesia. My courses ground machine learning and data science in real-world societal challenges, and emphasize hands-on engagement with generative AI and large language models. Below are selected courses with their most recent student evaluation (SETU) scores.

Machine Learning (ITI5201)

2023 – 2026. Foundations and applications of machine learning, grounded in real-world issues and how AI development can benefit societies. SETU: 4.29 / 5 (2025), 4.10 / 5 (2024).

Data Analysis for Semi-Structured Data (ITI5212)

2023 – 2026. Techniques for analyzing semi-structured data, with a focus on generative AI and large language models. SETU: 4.50 / 5 (2025), 4.69 / 5 (2024), 4.40 / 5 (2023).

Data Wrangling (ITI5196)

2022 – 2024. Practical methods for cleaning, transforming, and preparing data for analysis. SETU: 4.66 / 5 (2023), 4.31 / 5 (2024).

Introduction to Data Science (ITI5145)

2022. A first course covering the data science lifecycle and core methods. SETU: 4.08 / 5 (2022).

Master’s Thesis Supervision (ITI5126 / 5127 / 5228 / 5229)

I involve students in world-class research projects and mentor them toward publishing and presenting their work at top conferences. Several of my Master’s students have published at venues including ACL and ICLR. SETU: 4.42 / 5.

See the news on Master of Data Science students at ACL 2025.