Writing & Projects

Writing

I write Parth's Datastack, data-driven economics for a general audience. A few I'm proud of:

• The Great Talent Misallocation: why so much elite talent flows into finance, and when that becomes a problem for everyone else.
• Creative Destruction: unpacking the 2025 economics Nobel, and how fading competition and rising markups quietly throttle growth.

All posts →

I've been writing about markets since university: finance and crypto columns for The Saint, St Andrews' student paper, as deputy editor (2021). One I've rescued from the archive: Boom or Bust?! The Bitcoin Bubble.

Projects

• UK AI Economic Indicators: a live, interactive dashboard replicating the Stanford Digital Economy Lab's AI Economic Indicators for the UK. Three tracks, adoption, macroeconomic transformation, and the labour market, each built from public UK data (ONS, Bank of England, Ofcom, and Labour Force Survey microdata). Python and Plotly; the code and method are on GitHub.
• Modelling Political Polarization: an interactive version of my St Andrews dissertation. A 5,000-agent simulation where you move sliders for exposure, tolerance, inequality, and elite influence, and watch a population polarise. Built in Python and Streamlit.

AI safety

While at St Andrews I co-founded and ran STAISH, the university's first AI safety fellowship: a multi-week reading group taking students through machine-learning fundamentals, AGI risk, alignment, and governance. The Saint covered the launch, and the reading syllabus is online.

Beyond work

• Letterboxd: what I'm watching.
• Running for Concern Worldwide: my half-marathon fundraiser.