Daniel has a PhD in Information Science from UC Berkeley. Since graduating, he taught a course on "Understanding Change in Web Search" (at Michigan State University), worked at a search startup (Trieve), and founded ARCHIGNES, an independent search research lab. His research into web search has been published in leading peer-reviewed journals and his curiosity about web search at ARCHIGNES has been featured in WIRED1 and Bloomberg2. Daniel's development of Hypandra is informed by his research into web search, including lessons from his dissertation3 and his work at ARCHIGNES.
Daniel's three kids keep him curious.
1 Chatbot Hallucinations Are Poisoning Web Search (WIRED, October 5, 2023)
2 Even Google Insiders Are Questioning Bard AI Chatbot's Usefulness (Bloomberg, October 11, 2023)
3 Situating Web Searching in Data Engineering: Admissions, Extensions, Repairs, and Ownership (Dissertation, December 16, 2022)