Title TBD
ACM CHIIRBerlin, Germany, March 2027
Talks, lectures, and panels
Keynotes
Berlin, Germany, March 2027
Title TBD
NTCIRTokyo, Japan, December 2026
Emancipatory Information Retrieval: Towards Critical IR Theories and Practices
ACM SIGIRNaarm / Melbourne, Australia, July 2026
PPT
Information Access of the Oppressed: Envisioning Emancipatory Information Access Platforms
Critical Approaches to Libraries Conference (CALC)Virtual, May 2026
PPT | Recording | Sketchnote
Emancipatory Information Retrieval: Radically Reorienting Information Retrieval Research to Resist Corporate and Authoritarian Capture of our Information Ecosystems
Forum for Information Retrieval Evaluation (FIRE)Virtual, December 2025
SlideShare | PPT | Recording
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
SlideShare | PDF
Efficient Machine Learning and Machine Learning for Efficiency in Information Retrieval
The Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR), SIGIRVirtual, July 2022
SlideShare | PPT
Benchmarking for Neural Information Retrieval: MS MARCO, TREC, and Beyond
NLIWOD workshop, International Semantic Web ConferenceVirtual, November 2020
SlideShare | PPT
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
SlideShare | PPT
Invited talks
Information Access of the Oppressed: Envisioning Emancipatory Information Access Platforms
Starling Centre for Just Technologies and Just SocietiesVirtual, March 2026
SlideShare | PPT
Information Access of the Oppressed: Envisioning Emancipatory Information Access Platforms
Department of Information Studies, University College LondonVirtual, March 2026
SlideShare | PPT | Recording
Sociotechnical Implications of RAG for Information Access
Dagstuhl Seminar 25391: Retrieval-Augmented Generation – The Future of Search?Wadern, Germany, September 2025
SlideShare | PPT
Emancipatory Information Retrieval
People and Technology Lab (PATLab), University College CorkVirtual, March 2025
SlideShare | PPT | Recording
Sociotechnical Implications of Generative AI for Information Access
(Re)defining Responsible AI workshop, MILAMontréal, Canada, October 2024
SlideShare | PPT
Search and Society: Reimagining Information Access for Radical Futures
Canadian AI 2024Guelph, Canada, May 2024
SlideShare | PPT
Joint Multisided Exposure Fairness for Search and Recommendation
SEA: Search Engines AmsterdamVirtual, January 2023
SlideShare | PPT
What’s next for deep learning for Search?
EtsyVirtual, November 2022
SlideShare | PPT
So, You Want to Release a Dataset? Reflections on Benchmark Development, Community Building, and Making Robust Scientific Progress
SpotifyVirtual, September 2022
SlideShare | PDF
Multisided Exposure Fairness for Search and Recommendation
Lowe'sVirtual, June 2022
SlideShare | PPT
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
Details | SlideShare | PPT | Recording
Neural Information Retrieval: In search of meaningful progress
CLIP Colloquium, University of MarylandVirtual, March 2021
Details | SlideShare | PPT
Neural Models for Information Retrieval
FacebookSeattle, USA, November 2017
SlideShare | PPT
Neural Models for Information Retrieval
Microsoft Research RedmondRedmond, USA, November 2017
SlideShare | PPT | Recording
Neural Models for Information Retrieval
School of Computing Sciences, University of GlasgowGlasgow, UK, November 2017
SlideShare | PPT
Neural Models for Document Ranking
The 4th International Alexandria WorkshopHannover, Germany, October 2017
SlideShare | PPT
Neural Models for Information Retrieval
The NLIP seminar series, University of Cambridge computer laboratoryCambridge, UK, October 2017
SlideShare | PPT
Using Text Embeddings for Information Retrieval
School of Computing Sciences, University of GlasgowGlasgow, UK, May 2016
SlideShare | PPT
A Simple Introduction to Word Embeddings
North Eastern UniversitySeattle, USA, April 2016
SlideShare | PPT
Vectorland: Brief Notes from Using Text Embeddings for Search
Search SolutionsLondon, UK, November 2015
SlideShare | PPT
Lectures
Information Retrieval & Society
University College LondonVirtual, March 2026
SlideShare | PPT
Information Retrieval & Society
Information Retrieval Lab (IRLab), University of Amsterdam (UvA)Virtual, March 2026
SlideShare | PPT
Neural Learning to Rank
University College LondonVirtual, February 2026
SlideShare | PPT
Neural Learning to Rank
Dayananda Sagar College of EngineeringVirtual, May 2022
SlideShare | PPT
Deep Neural Methods for Retrieval
University College LondonVirtual, March 2021
SlideShare | PPT
Neural Learning to Rank
University College LondonVirtual, March 2021
SlideShare | PPT
Deep Neural Methods for Retrieval
Emory UniversityVirtual, April 2020
SlideShare | PPT | Recording
Neural Learning to Rank
Emory UniversityVirtual, April 2020
SlideShare | PPT | Recording
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
SlideShare | PPT | Recording | Hands-on lab materials
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
SlideShare | PPT | Hands-on lab materials
A Simple Introduction to Neural Information Retrieval
University College LondonLondon, UK, March 2018
SlideShare | PPT
Invited panels
Global South in AI Governance
With Cecil Abungu and Jonas KgomoNext Gen AI Forum: Preparing for Tomorrow's AI Governance Today (A Pre-Summit Convening for the India AI Impact Summit 2026), McGill
Organized by Encode Canada
Montréal, Canada, January 2026
AI Ethics and the Tech Industry
With Stefania Pecore, Florian Carichon, and Lilia JemaiMcGill University
Organized by McGill Computer Science Undergraduate Society (CSUS) and Encode Canada
Montréal, Canada, November 2025
To Use Generative AI or Not To Use It
With Mia Shah-Dand, Hessie Jones, and Beatriz González MellídezWomen in AI Ethics Plus (WAIE+) Debate
Online, August 2025
Recording
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