Ryan
Data scientist and researcher. GenAI, evaluation, social sciences, and the occasional regulatory rabbit hole.
I'm a data scientist focused on GenAI and NLP — particularly evaluation, agentic systems, and what it actually takes to make these things reliable in practice. My academic research sits at the intersection of HCI and AI, looking at how humans make decisions alongside or in response to model outputs.
Before that: roughly a decade in banking, starting in credit risk during the financial crisis — an instructive time to learn what happens when models meet tail events. Since 2019, I've done NLP, AI, and now GenAI work in banking, with a detour to Explosion, the team behind spaCy.
Over time, I started noticing a pattern that keeps repeating: transformative technology arrives fast, organizational incentive structures form around it even faster, and the gap between the two is where most of the interesting — and expensive — problems live.
I also teach occasionally as an adjunct, with courses ranging from Applications of LLMs to visual analytics to Bayesian statistics .
Overhang is where I try to track the money and politics behind the AI boom — how the buildout is financed, where the risk hides, and what could reprice it. It's a sister course to Drift , my course on banking GenAI risk. Most posts end with an open question. Views are strictly my own.