I work on macroeconomics, monetary economics, as well as financial markets. My role at the Federal Reserve involves translating this research into practical financial market assessments that inform policy discussions.
I research how policymakers, individuals, and markets process information and its impact on decision-making.
I am working on the emerging paradigm on information gathering and decision making brought about by AI, particularly large language models. This includes exploring how these technologies can enhance economic forecasting and policy analysis.
For latest on this, see my Federal Reserve research page.
Generative AI is a-learning-by-doing technology. In that spirit, I built a webpage with help from ChatGPT, Claude and Gemini on stock market reaction to AI information.
Voice Memos is a private voice diary for thoughts, todos, and reflections. It records in the browser, transcribes through a Cloudflare Worker, stores only transcripts, and turns entries into a searchable diary with categories and evening digests. Built as a learning-by-doing experiment in useful, privacy-conscious AI.
The Research Materials section of this site is its own experiment. Working drafts are encrypted and stored in the same public repository that serves this page; a six-digit code from an authenticator app — there is no password to remember or forget — releases the key, and new documents can be encrypted and published from any browser through a small Cloudflare Worker. Built with Claude as an exercise in how much security and convenience a static website can support.
For my complete research, see my Google Scholar page.
I keep the Text Analysis in Finance course documents on this webpage. I taught this course in 2012 and 2013. The field has moved a lot since then, and I have kept it around for mostly archival purposes. The link directs to google sites page.