Project

Australian Ad Observatory
ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S)
Research Fellow, Monash University / ADM+S, Feb 2025 - Present

• Contribute to a national research infrastructure for studying targeted online advertising using data donation and hybrid digital methods.
• Analyse patterns of automated advertising exposure across social media and mobile platforms to improve transparency and public accountability.
• Investigate how algorithmic advertising systems interact with user identity, behavioural signals, and platform dynamics.

Evaluating Automated Cultural Curating and Ranking Systems with Synthetic Data
ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S)
Research Fellow, Monash University / ADM+S, Feb 2025 - Present

• Develop evaluation frameworks for automated ranking and recommender systems shaping cultural and informational exposure.
• Design synthetic data methodologies to systematically assess bias, diversity, and public-interest alignment in content curation systems.
• Contribute to interdisciplinary research connecting computational methods with regulatory, societal, and policy perspectives.

Responsive and Real-time Fair AI in Spatial-Temporal Data
PhD Student, RMIT University, Apr 2021 - Feb 2025

• Identified fairness challenges in spatial-temporal data across dynamic scenarios.
• Proposed new modelling frameworks to address multiple forms of fairness.
• Designed and conducted large-scale experimental evaluations.

App Usage Prediction On the Move
Honours Student, RMIT University, Sept 2019 - Nov 2020

• Processed trajectory data and extracted app usage patterns.
• Developed a multi-level prediction framework for commute-aware next-app prediction.
• Conducted experiments on the Cortana Dataset; achieved state-of-the-art performance.

Learning Job Profiles from Cyber Physical Social Signals
Research Intern, Microsoft Cortana Intelligence Institute, Nov 2020 - Apr 2021

• Formulated job profile prediction as a one-class classification problem.
• Applied categorical principal component analysis to CPS features.
• Constructed and evaluated models on a real-world context-rich dataset.

Guess Your Ethnic Group
Intern, The University of Melbourne (Prof. Rui Zhang), July 2016 - Jan 2017

• Built NLP-based models to infer ethnicity from name patterns.
• Achieved >90% accuracy for general categories and >75% for fine-grained classes.

Non-SQL Database Construction
Intern, Tsinghua University (Prof. Jianmin Wang), Dec 2015 - Feb 2016

• Evaluated Oracle database performance via log analysis.
• Gained practical experience with Cassandra and NoSQL systems.