Housing markets are shaped by policy, capital, and location.
Better evidence leads to better interpretation.
SINGAPORE HOUSING, URBAN SYSTEMS, AND MARKET DATA
Studying housing markets through data, policy, and urban context.
My work examines how housing markets function across transaction behaviour, policy design, financing conditions, spatial accessibility, and urban development. With a primary focus on Singapore, I use large-scale datasets, geospatial methods, and analytical systems to study real estate questions in a more structured and evidence-based way.
Markets make more sense when you study the system.
Housing markets are shaped by a complex interaction of policy, infrastructure, financing, land use, and household behaviour. Understanding them requires structured data, careful methods, and the ability to connect signals across multiple layers of the urban system. My research focuses on combining housing data, geospatial context, macroeconomic conditions, and policy analysis to explain how market outcomes form in practice.
The aim is clearer interpretation, stronger evidence, and better questions.
Latest Research
Freehold vs. Leasehold Premium and the Structure of Lease Decay
A repeat-sales study examining realised freehold and leasehold returns, remaining-lease bands, and the empirical structure of lease decay in Singapore private housing.
New Launch vs. Resale Returns in Singapore Private Housing
A repeat-sales study comparing realised capital returns for new-sale-entry and resale-entry buyers in Singapore private housing.
Singapore Real Estate Forecasting Models
A forecasting research track that combined transaction history, macro signals, and richer geospatial context to model Singapore property-price movement more rigorously.
Amenities and Property Prices in Singapore
A research project studying how a broader amenity set improves property-price modelling in Singapore compared with narrower, single-signal approaches.
HDB Resale Prices and SORA Rates
A market study combining MAS rate data, HDB resale transactions, and town-level mapping to examine how financing conditions and resale activity moved together.
Automated HDB Trends Reporting
A recurring reporting workflow that combines HDB resale data, town-level geography, and language generation to produce faster monthly market summaries.
Latest Media Appearances
#TalkBack: CCA or two-room Flexi - how can Singaporeans make the right choice?
Right-sizing decisions depend on more than flat type; they combine housing needs, care needs, affordability, and household preferences.
#TalkBack: $130 million neighbourhood upgrading; uncertain times or ideal window?
Neighbourhood upgrading decisions sit between public investment, household confidence, and the timing of improvements to the lived environment.
Singapore's construction surge and housing supply
Construction pipelines are where macro trends, housing supply, and labour demand collide.
The 80% question: changes coming to the en bloc threshold?
En bloc momentum depends on policy design as much as market appetite.
Latest Speaking Engagements
Investing in Singapore Property: A US Professional's Playbook
US Professional Audience Briefing • Singapore
Presented a practical diligence framework for evaluating Singapore property from an international investor perspective.
Singapore Property & Policy Briefing for GOPIO Singapore Leaders
GOPIO Singapore • Singapore
Delivered a structured briefing on Singapore housing policy and market realities to senior community and business leaders.
Entrepreneurship in Singapore: Systems, Execution, and Human-Centric Innovation
UT Austin MTC • Singapore
Spoke to UT Austin students about building in Singapore and designing automation to increase human value.
My Personal Timeline
Built a business and market-thinking foundation at the University of Birmingham
My undergraduate training in International Business gave me an early grounding in markets, incentives, strategy, and how economic decisions play out in the real world.
Moved from broad business analysis into more data-driven problem solving
Early roles across reporting, analysis, and process work sharpened my interest in using structured data to reduce ambiguity and support better decisions.
Developed a stronger analytical and geospatial research base at SUSS
My master's work in Analytics and Visualizations deepened the technical side of my work, especially through geospatial research on Singapore real-estate price prediction.
Shifted decisively into Singapore housing, market intelligence, and operational systems
My work moved beyond general analytics into housing-market research, dashboards, compliance systems, automation, and decision-support infrastructure.
Started building repeatable analytical systems instead of one-off analysis
This period sharpened my approach: combine SQL, Python, mapping, dashboards, and automation to make housing research more scalable, consistent, and usable.
Began translating housing research into public commentary and external briefings
Research increasingly became public-facing through media appearances, market briefings, and talks for broader audiences, with a focus on making complex housing signals easier to understand.
Beginning a PhD in Management (Real Estate) at NUS Business School
The next phase of my work will formalize a longer-term research agenda around housing markets, policy, urban systems, and evidence-based market analysis within the Department of Real Estate.