Bias and Beyond: On Generative AI and the Future of Search and Society
The International Workshop on Algorithmic Bias in Search and Recommendation (BIAS), SIGIRWashington D.C., USA, July 2024
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Talks, lectures, and panels
Keynotes
Washington D.C., USA, July 2024
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Efficient Machine Learning and Machine Learning for Efficiency in Information Retrieval
The Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR), SIGIRVirtual, July 2022
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Benchmarking for Neural Information Retrieval: MS MARCO, TREC, and Beyond
NLIWOD workshop, International Semantic Web ConferenceVirtual, November 2020
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5 Lessons Learned from Designing Neural Models for Information Retrieval
The 10th Recherche d’Information SEmantique (RISE) workshop, The CORIA-TALN-RJC conferenceRennes, France, May 2018
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Invited talks
Emancipatory Information Retrieval
People and Technology Lab (PATLab), University College CorkVirtual, March 2025
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Sociotechnical Implications of Generative AI for Information Access
(Re)defining Responsible AI workshop, MILAMontreal, Canada, October 2024
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Search and Society: Reimagining Information Access for Radical Futures
Canadian AI 2024Guelph, Canada, May 2024
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Joint Multisided Exposure Fairness for Search and Recommendation
SEA: Search Engines AmsterdamVirtual, January 2023
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What’s next for deep learning for Search?
EtsyVirtual, November 2022
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So, You Want to Release a Dataset? Reflections on Benchmark Development, Community Building, and Making Robust Scientific Progress
SpotifyVirtual, September 2022
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Multisided Exposure Fairness for Search and Recommendation
Lowe'sVirtual, June 2022
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Deep Learning for Effective, Exposure-Aware, and Efficient Information Retrieval
Microsoft Research CambridgeVirtual, April 2022
Multisided Exposure Fairness for Search and Recommendation
Microsoft Research MontrealVirtual, February 2022
Neural Information Retrieval: In search of meaningful progress
CIIR Talk Series, University of Massachusetts AmherstVirtual, March 2021
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Neural Information Retrieval: In search of meaningful progress
CLIP Colloquium, University of MarylandVirtual, March 2021
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Neural Models for Information Retrieval
FacebookSeattle, USA, November 2017
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Neural Models for Information Retrieval
Microsoft Research RedmondRedmond, USA, November 2017
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Neural Models for Information Retrieval
School of Computing Sciences, University of GlasgowGlasgow, UK, November 2017
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Neural Models for Document Ranking
The 4th International Alexandria WorkshopHannover, Germany, October 2017
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Neural Models for Information Retrieval
The NLIP seminar series, University of Cambridge computer laboratoryCambridge, UK, October 2017
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Using Text Embeddings for Information Retrieval
School of Computing Sciences, University of GlasgowGlasgow, UK, May 2016
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A Simple Introduction to Word Embeddings
North Eastern UniversitySeattle, USA, April 2016
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Vectorland: Brief Notes from Using Text Embeddings for Search
Search SolutionsLondon, UK, November 2015
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Lectures
Neural Learning to Rank
Dayananda Sagar College of EngineeringVirtual, May 2022
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Deep Neural Methods for Retrieval
University College LondonVirtual, March 2021
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Neural Learning to Rank
University College LondonVirtual, March 2021
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Deep Neural Methods for Retrieval
Emory UniversityVirtual, April 2020
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Neural Learning to Rank
Emory UniversityVirtual, April 2020
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Learning to Rank for Information Retrieval with Neural Networks
ACM SIGIR/SIGKDD Africa Summer School on Machine Learning for Data Mining and Search (AFIRM)Cape Town, South Africa, January 2020
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Deep Learning for Search
ACM SIGIR/SIGKDD Africa Summer School on Machine Learning for Data Mining and Search (AFIRM)Cape Town, South Africa, January 2019
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A Simple Introduction to Neural Information Retrieval
University College LondonLondon, UK, March 2018
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Invited panels
Diversity, Equity, and Inclusion (DEI) lunch
With Clemencia Siro, Vanessa Murdock, Nicola Ferro, and Doug OardSIGIR
Washington D.C., USA, July 2024
From Research To Production
With Julia Kiseleva, Craig Macdonald, Radim Řehůřek, and Agnes van BelleIndustry Day, ECIR
Grenoble, France, March 2018