I am a lecturer in Econometrics and Business Statistics at the School of Business, Monash University Malaysia. My research interests are applied econometrics, structural models, innovation ecosystems, artificial intelligence, computational social science, focusing on big data and democracy, and empirical studies of the arts, focusing on Southeast Asian cinema, music and heritage. I actively promote principles of sustainability, equity, diversity, and inclusion in my work.

Affiliations

• The Econometric Society (ES)
• International Statistical Institute (ISI)
• The Asian Regional Section of the International Association for Statistical Computing (IASC-ARS)
• International Society for the Study of Popular Music - Southeast Asia (IASPM)
• Principles of Responsible Management of Education (PRME), Champion for Education 
• Monash Data and Democracy Research Hub (MDDRH)
• Innovative Analytics Research Lab (IARL)
• Equity, Diversity and Inclusion (EDI) Campus Committee, Monash Malaysia
• Equity, Diversity and Social Inclusion (EDSI) Committee at the Faculty of Business and Economics 
• Entrepreneurship and Innovation Hub (eiHub)
• Monash Political Awareness Club (MONPAC)

Current Projects

Boosting Monash's Global Reputation - Data & Democracy Research Hub
The project aims to establish the Data & Democracy Research Hub. Monash Indonesia leads it in collaboration with faculty members from Monash Australia and Monash Malaysia and will serve as a collaborative nexus for scholars, researchers, and media practitioners. The hub will address critical issues related to the malicious use of big data and algorithms and their effects on democratic institutions. This initiative is funded by the Incubator Grant 2024 worth AUD 75,000 from Monash University.

ASEAN Disinformation Index: Analysing and Mitigating the Impact of Malicious Information on Democracy in Southeast Asia
This inter-faculty project aims to develop a comprehensive Disinformation Index tailored explicitly to the ASEAN region, assessing the influence of disinformation on key democracy indicators such as electoral integrity, political participation, and civil liberties. Existing indices broadly focus on global metrics and overlook regional specifics crucial to ASEAN's diverse political landscape and rapid digital transformation. By quantifying disinformation's correlation with democracy metrics, this project enhances academic understanding and informs and guides policy responses. This initiative is critical for maintaining and improving ASEAN’s democratic quality, aligning with Monash University's commitment to innovative research addressing regional challenges. It is funded by the 2024 Monash Data Futures Institute (MDFI) Seed Grant in AI Interdisciplinary Research worth AUD 47,500.

Startup Innovation and Growth: The Constraint Theory of Innovation and Mediating Role of Dynamic Capabilities
This project examines the intricate relationship between resource constraints, startup innovation, and growth, emphasising the mediating role of dynamic capabilities. The study examines the 'black box' of startup innovation, aiming to outline the obscure processes through which startups convert resources into growth and innovation by synthesising the resource-based view, dynamic capabilities, and the constraint theory of innovation. The findings are expected to offer valuable insights for startups concerning the interaction between resource limitations and the development of dynamic capabilities, and how these factors can be strategically utilised to foster innovation and growth. This project has been partly funded by the School of Business Seed Grant 2023, worth RM10,000.

Virtual Reality (VR) and Augmented Reality (AR) in Learning Vector Geometry and Visualisation in Econometrics, Statistics and Analytics
This project seeks to enhance pedagogical methods in econometrics and analytics. By leveraging the capabilities of VR and AR technologies, this initiative aims to offer students a more immersive and intuitive comprehension of intricate theoretical concepts, specifically focusing on vector geometry and its utilisation in Ordinary Least Squares (OLS) estimation and visualisation of high-dimensional data. This project is funded by the School of Business Learning Innovation Fund (LIF) worth RM 5,000.

Social Media, Controversy and Dissent: Entanglements of Southeast Asian Popular Music
This project brings together scholars and practitioners working in Southeast Asian popular culture, gender and sexuality, performing arts, politics, and digital media. It considers current issues in how popular music intersects with controversial events and expressions of dissent, whether explicit or implicit. These include protest movements and marginalized groups such as minorities, indigenous peoples, and LGBTQ+ communities. The lab also examines the entanglements of such expressions of popular music (and culture) with local, global, and transnational dynamics. Aside from the usual ethnographic approaches, the project employs research methods such as netnography and sentiment analysis through big data sampling of social media and web content.

Cosmopolitan Arts of the Nusantara Southeast Asia Seminar and Workshop Series
This project explores the rich cultural heritage of the Nusantara region, focusing on the evolution of innovation and creativity in heritage arts across time and cultures in maritime Southeast Asia. Supported by a collaboration with HARTA Gallery and Museum, this series features public lectures and hands-on workshops on heritage arts, including keris, jewellery, textiles, wayang kulit, destar, music and films. Led by scholars, curators, and artisans from various organisations, the series aims to trace the cosmopolitan nature of innovation, foster cross-cultural dialogue, and promote the development of a sustainable ecosystem for preserving and innovating the region's arts.

Building a Data-Driven Organisation with Big Data Management
This project seeks to build a data-driven organisation to enhance decision-making and operational efficiency through advanced business analytics and digital transformation strategies. Key elements include developing a central data warehouse, providing specialized training in data analytics for the workforce, and implementing AI and machine learning for better market analysis and customer segmentation. This transformation is expected to significantly increase market responsiveness and operational effectiveness.

Predictive Modeling and Optimisation of Orchestra Concert Programming
This project aims to enhance concert programming through a data-driven predictive model and optimisation. The model uses historical data and advanced statistical methods to identify the determinants of ticket sales, supporting strategic decisions in scheduling, pricing, and marketing. The goal is to optimize audience engagement and maximize revenue without compromising artistic integrity.

• BEW4010 Quantitative Research Methods
• BEW3110 Work Experience Program
• ETW3420 Forecasting Theory and Practice
• ETW3483 Applied Analytics
• ETW2510 Introduction to Econometrics
• ETW1001 Introduction to Business Analytics
• BEX3202 AI Application in Business (coming in 2026)