Scholar
David Farr
Google Scholar ID: w2MjXU4AAAAJ
PhD Student, University of Washington
Citations & Impact
Citations
300
H-index
5
i10-index
2
Publications
11
Co-authors
1
list available
Contact
Publications
Resume (English only)
Academic Achievements
- D. Farr, N. Manzonelli, I. Cruickshank, K. Starbird, and J. West, “LLM Chain Ensembles for Scalable and Accurate Data Annotation,” Proceedings of the 2024 IEEE International Conference on Big Data, 2024.
- D. Farr, N. Manzonelli, I. Cruickshank, and J. West, “RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Classifiers for Computational Social Science,” Proceedings of the 31st International Conference on Computational Linguistics (COLING), 2025.
- D. T. Farr, I. Cruickshank, and N. D. Bastian, “Towards a Systems Thinking Model of Decision Dominance,” Phalanx, Fall 2023.
- D. Farr, “Meta-analysis by Estimation of Total Relevant Information Content in Biological Data (METRIC),” Thesis, School of Mathematics, University of Edinburgh, August 2018.
- B. Li, S. M. Clohisey, B. S. Chia, B. Wang, A. Cui, T. Eisenhaure, L. D. Schweitzer, P. Hoover, N. J. Parkinson, A. Nachshon, N. Smith, T. Regan, D. Farr, et al., “Genome-wide CRISPR screen identifies host dependency factors for influenza A virus infection,” Nature Communications, January 2020.
Background
- Machine Learning Researcher with interests in multi-agent systems, large-scale data annotation, and edge classifiers.
Miscellany
- Guest Lecturer at the University of Washington, teaching 'Calling BS: Data Reasoning In A Digital World'.
