My research focuses on the design and evaluation of information access systems, including information retrieval (e.g. web search) and recommender systems. This has included developing evaluation metrics, designing algorithms, and understanding the broader, societal implications of these technologies. My recent work spans preference-based evaluation and fairness in ranking, understanding AI's impact on culture industries, retrieval-enhanced machine learning, and tip-of-the-tongue retrieval algorithms. My previous projects have included text summarization in crisis informatics contexts, inferring user intent from mouse cursor behavior, aggregated search, time-sensitive ranking, and core retrieval algorithms. You can learn more about this work on my
research page.
Detailed biographical information can be found on my
curriculum vitae. A complete list of my work is available on my
publications page.
