Currently, I work at GroupLang. We study how LLMs interacting with groups impact incentives. We are hiring and are remote-first.
I go by nikete in everything but the most formal of documents. Active on Twitter/X.
Broadly, I am motivated to work towards the improvement of understanding. I design, build, and study the computational engines that mediate collective cognition. Methodologically, my tools come mostly from economics and machine learning. I enjoy theory-driven work and opportunistic experimentation. I care about how we can better elicit what the best decisions are. I have studied and helped build and run various markets and related institutions across a wide variety of domains (social media, pharmaceuticals, betting, advertising, music royalties, MEV). I have also done work on improving observational understanding of decision making in non-market settings, most intensely in hospital ICUs.
I have co-authored papers at machine learning conferences (NeurIPS, WWW, UAI, IJCAI) and in medical journals (Critical Care Medicine, Chest, Journal of Clinical Sleep Medicine). Google Scholar has a good first approximation of my output. My PhD thesis was on algorithm and mechanism design for aiding decision making while preserving the freedom of choice of the decision subject.