Talks

Short bio for speaking engagements

Marzieh Fadaee is the Head of Cohere Labs, where she leads research on fundamental problems in artificial intelligence. Her work spans multilingual language models, data-efficient learning, model evaluation, and trustworthy AI, with a focus on building systems that are robust, inclusive, and globally impactful. She co-leads the Aya initiative that brought together over 3,000 collaborators worldwide to create the world's largest multilingual instruction dataset and the development of a series of state-of-the-art multilingual language and vision models. Before joining Cohere Labs, Marzieh was the Research Lead at Zeta Alpha Vector, where she pioneered innovative approaches to knowledge discovery and organization. She holds a PhD from the University of Amsterdam where she conducted foundational research on neural machine translation. Her research has been published in top venues such as NeurIPS, ACL, EMNLP, and ICLR, and she frequently serves as a mentor and advisor in the global AI research community.

Upcoming

September 2026
“The New Division of Labor: What Are We Building AI to Do?” @ Global forum on AI and social sciences, London School of Economics, London
September 2026
“Open Source AI” @ United Nations General Assembly, New York
October 2026
“Language models across languages: Data, evaluation, and generalization” @ World AI Summit, Amsterdam
October 2026
“Lessons from Multilingual AI for Building Better Language Models” @ AI CONF 2026, Dushanbe
October 2026
Invited talk @ University of Amsterdam, Amsterdam

2026

September 2026
“CIRCLE: A Framework for Evaluating AI from a Real-World Lens” @ The Intelligent Systems Conference, Amsterdam
August 2026
Invited talk @ Stanford, San Fransisco
August 2026
“From Peaks to Distributions: What Multilingual AI Reveals About Evaluation” @ Workshop on Language Interaction, Apple, Cupertino
June 2026
“Evaluation of AI Systems” @ International Summer School in Generative AI, Rome
May 2026
“What Multilingual Models Reveal About Scale and Balance” @ BLISS, Berlin
April 2026
“Data Strategies for Language Models: Insights from Multilingual Research” @ University of Michigan, Michigan
February 2026
Speaker at multiple events @ AI Impact Summit, New Delhi

2025

November 2025
“How Evaluation Directs AI Progress” @ RAISE center at UW, Online
November 2025
“Building Human-Centric Models from Global Voices” @ 10th INESC TEC Autumn Forum, Porto
November 2025
“What We Measure Is What We Build: Rethinking Evaluation of LLMs” @ SWORD AI Summit, Porto
November 2025
Speaker @ AI4ALL summit, Amsterdam
October 2025
“Frontier models: What’s next for the most advanced AI systems?” @ World Summit AI, Amsterdam
October 2025
“Building Responsible AI for a Global Audience” @ Internet Accountability Forum, Brussels
July 2025
“Building Better Language Models Through Global Understanding” @ MSR Africa, Online
July 2025
“Rethinking Evaluation for the Future of Language Models” @ Cardiff NLP Summer Workshop, Cardiff
June 2025
Talk @ BuzzRobot developer community podcast, Online
June 2025
“Evaluating Language Models: A Mirror, a Microscope, and a Map” @ Copenhagen NLP Symposium, Copenhagen
April 2025
“LLMs for social impact workshop” @ DALI Sorrento, Sorrento
April 2025
“The Unscientific Science of AI Evaluation” @ DALI Sorrento, Sorrento
April 2025
“Languages as Windows to Human Knowledge: Building Better Language Models Through Global Understanding” @ Advanced Language Processing School (ALPS), Aussois
March 2025
“The importance of open models” @ Google Gemma Developer Day, Paris
March 2025
“Building the Next Generation of Multilingual Language Models” @ Open Institute of Technology, Amsterdam

2024

December 2024
“Charting the Future of Multilingual Models” @ OnDeck ML Research, NeurIPS, Vancouver
November 2024
Speaker @ Local Language Partnerships Accelerator Pilot, UNDP, Online
November 2024
“ساخت نسل بعدی مدل‌های چندزبانه” @ University of Tehran, Online
October 2024
Panelist @ Kaggle AMA, Online
October 2024
“Building the Future of AI: Scaling Foundation Models and Agents for Real-World Applications” @ Nordic Data Science & ML Summit, Stockholm
October 2024
“Multilingual language models: Benefits and Barriers” @ Understanding Deep Learning Lecture Series, Online
October 2024
“Building the Next Generation of Multilingual Models” @ UKP-CIS Joint Invited Talk Series, Online
October 2024
“مدل های زبانی چند زبانه: چرا و چگونه” @ Sharif University LLM Journal Club, Online
September 2024
“The Art of Language: Mastering Multilingual Challenges in LLMs” @ PyData Amsterdam, Amsterdam
August 2024
“AI and digitizing low-resource languages” @ United Nations Development Programme, Online
July 2024
“C4AI Fireside Chat series” @ Max Welling, Online
March 2024
“Aya: A massively multilingual dataset and language model” @ SlaterCon, Online
March 2024
“C4AI Fireside Chat series” @ Mirella Lapata, Online
February 2024
“Aligning Large Language Models to Low-Resource Languages” @ AAAI, Vancouver
January 2024
“C4AI Fireside Chat series” @ Jacob Andreas, Online

2023

November 2023
Guest lecture @ Leiden University, Leiden
2023
“AYA: An Open Science Initiative to Accelerate Multilingual AI Progress” @ Toronto Data Workshop, Toronto
2023
“Mastering language understanding with AI: How multilingualism shapes LLMs” @ Schwartz Reisman Institute Seminar Series, Online
2023
Invited talk @ Women in AI Summit, Amsterdam · a nominee in Top 5 AI researcher category
2023
“Who is building open source AI?” @ The Turing Way's Fireside Chat, Online
2023
“When life happens: How to navigate challenging times in research?” @ ACL Mentorship, Online

2022

2022
“Generating Training Data with Large Language Models” @ Neural Search Talks podcast, Online
2022
“From Transformers to work: advances in semantic search” @ Transformers at Work III, Amsterdam

2021

2021
“The power of semantic search: how and why?” @ Transformers at Work II, Amsterdam

2020

2020
Talk @ Transformers at Work I, Amsterdam

2018

2018
“The impact of context on machine translation models” @ CL Seminar Series, ILLC (University of Amsterdam), Amsterdam
2018
“The impact of context on machine translation models” @ Machine Learning meetup, Amsterdam Politie, Amsterdam