About
I work at a point where two traditions rarely meet: the history of ideas — how people and institutions have formed their beliefs, characters, and loyalties over time — and the technology now built to model, predict, and shape belief and behavior in real time.
I trained as an economist before turning to intellectual history — a PhD from Cambridge, a master’s from Yale, research fellowships at the Sorbonne and Humboldt-Universität zu Berlin. My scholarship has ranged across the history of philosophy, theology, and cultural sociology, including two books from Oxford University Press and a co-edited handbook on the history of theological reception. As a contributing editor at The Hedgehog Review, I write more often now on the questions that history keeps raising for the present: institutional decay and managerialism, the politics of memory, the state of higher education, and what AI is doing to belief, trust, and attention.
In 2022, I co-founded FilterLabs, applying a version of the same question — how people come to trust what they believe — to the mechanics of data and AI. FilterLabs’ Ubiquity platform gives analysts and decision-makers source-verified, hyperlocal signal in noisy information environments, from conflict zones to humanitarian response. I led the company as CEO through its first years and now serve as Chairman, working alongside CEO Erol Yayboke.
Today I split my time between Harvard, where I co-direct the AI and Flourishing Initiative at the Human Flourishing Program, and FilterLabs.org, the non-profit we spun out of FilterLabs to bring the technology to independent journalists, academics, and other civic actors in the pro-democracy space.