Uncovering Patterns in a Noisy World

In a world saturated with data, I’m driven by a deeper question: Why are things the way they are, and why do they happen the way they do?

My research sits at the intersection of marketing and technology, using tools from causal inference and econometrics to trace the underlying forces that shape markets, strategies, and behavior. I’m especially drawn to messy, real-world settings related to marketing channels, supply chains, platform economies, pricing dynamics, and B2B systems, where surface patterns often mask deeper structural mechanisms. By bringing methodological tools to complex environments, I aim not just to model outcomes but to illuminate the hidden logic behind them. Ultimately, I seek to generate insights that are not only theoretically grounded but also practically valuable, helping decision-makers design better policies, platforms, and strategies.

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Home Sharing Platforms and Rent Prices

In this research, I examine how home-sharing platforms contribute to neighborhood gentrification by estimating their impact on long-term rental rates. Unlike prior studies, this work explores the multiple pathways through which these platforms can influence rental prices, offering a more nuanced understanding of their role in shaping urban housing dynamics.

This study draws on publicly available data on Toronto’s long-term rental market, combined with web-scraped data from Airbnb listings in the Greater Toronto Area.

The empirical evidence suggests that home sharing platforms obsorb the supply of long-term rental units in the neighborhood. Additionally, higher returns on investment associated with short-term rentals, appears to incentivize an inflow of affluent investors into the housing market, thereby accelerating patterns of gentrification.

A yellow Uber taxi driving on a city street, shown from above.

Can A Badge Boomerang?

This research investigates whether quality verification programs, such as platform-issued badges, can unintentionally undermine sellers’ incentives to maintain high standards and how it may alter market outcomes.

In this research, I explore the possibility that once verified, sellers may reduce effort or shirk on quality under certain badge designs, relying instead on the perceived credibility signaled by the badge itself.

This dynamic has important implications: certain segments of consumers and listings may ultimately be worse off, particularly in cases where information asymmetry is exacerbated by the badge.

A striking image of Bitcoin, Ethereum, and Ripple coins illustrating modern digital currency.

Blockchain & Supply Chain

Blockchain has been speculated to have enormous potential to address long-standing challenges in the supply chain, yet empirical evidence supporting its impact remains limited.

This study offers one of the first empirical investigations into the impact of blockchain technology on supply chain value creation. Combining analytical modeling with observational data, the research demonstrates that blockchain can enhance product value in markets characterized by high information asymmetry—where assessing the true quality of a good is inherently difficult.

Moreover, the findings suggest that blockchain enables previously unobservable “value discovery” processes within the supply chain to be recognized and priced in the market.

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