Lora Aroyo
NeurIPS2025 Datasets & Benchmarks Track Co-chair
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolLora Aroyo is a research scientist and AI safety expert with over a decade of experience building human-centered data quality metrics and human-in-the-loop methods for reliable generative AI. Currently a Staff Research Scientist at Google DeepMind and NeurIPS Datasets & Benchmarks Track co-chair, she bridges academic rigor and industry-scale evaluation to improve AI trustworthiness. Her background spans crowdsourcing, HCI, recommender systems, semantic web and intelligent tutoring, supported by a PhD in agent-based information management. She has steered major conferences (HCOMP, ISWC, ESWC) and advised cultural heritage initiatives, showing a rare blend of technical leadership and community stewardship. Lora’s work frequently focuses on measurable, user-centric evaluation of AI systems rather than purely model-centric metrics, reflecting a mission to make AI beneficial for people and society. Based in New York, she combines deep research roots with operational roles that shape standards for datasets and benchmarks.
10 years of coding experience
21 years of employment as a software developer
PhD Agent-based Information Management, PhD Agent-based Information Management at University of TwenteMSc Computer Science Information Systems, MSc Computer Science Information Systems at Sofia University St. Kliment Ohridski
English, Dutch, German, Russian, Bulgarian
Stackoverflow
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Github Skills (36)
downgrade10
timesheet10
lists10
trello10
bug-tracker10
business-process10
devrel10
scrum10
stateless10
unicorns10
linux10
pair-programming10
kanban10
user-stories10
agile-development10
Programming languages (3)
Github contributions (5)
lorabv/awesome-agile
Sep 2017 - Jan 2022
Awesome List of resources on Agile Software Development.
Contributions:3 reviews, 210 commits, 10 PRs in 4 years 4 months
panicbacklogagile-manifestodowngradelean
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