Being a polymath is not the same as having no specialism. I've worked in IT consulting, in tourism, in banking, as a researcher and as a lecturer, and each of those went deep: a doctorate in one, peer-reviewed publication in another, systems running in production in a third. What carries across isn't the subject matter. It's the method. Learn a field properly, then rebuild how its work gets done with the best technology available.
Today that technology is AI, and I use it as a practitioner rather than as a topic to write about. I designed and built the multi-agent AI research platform my research desk runs on, end to end, from the schema-intelligence database through the specialist agents to production scheduling. It now carries the forecasting and research work alongside me. Not a demonstration; the system we actually use.
I teach and supervise in a faculty of economics and business. The teaching is broader than one field: Islamic banking and Islamic economics, but also general economics and finance, data science and IT-related subjects, and management and business courses, marketing and finance among them.
My own research runs in three streams: tourism and hospitality, macroeconomics and financial markets, and Islamic finance. Digital transformation, blockchain and AI cut across all three. Methods move freely between them, so the time-series econometrics I point at a yield curve and the experimental design I point at traveller behaviour are one toolkit aimed at different questions.