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
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
2026
August 2026
Invited talk @ Stanford, San Fransisco
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
2025
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
June 2025
Talk @ BuzzRobot developer community podcast, Online
April 2025
“
The Unscientific Science of AI Evaluation” @
DALI Sorrento, Sorrento
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
“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
September 2024
“
The Art of Language: Mastering Multilingual Challenges in LLMs” @
PyData Amsterdam, Amsterdam
March 2024
“
Aya: A massively multilingual dataset and language model” @
SlaterCon, Online
February 2024
“
Aligning Large Language Models to Low-Resource Languages” @
AAAI, Vancouver
2023
November 2023
Guest lecture @ Leiden University, Leiden
2023
“
AYA: An Open Science Initiative to Accelerate Multilingual AI Progress” @
Toronto Data Workshop, Toronto
2023
“
When life happens: How to navigate challenging times in research?” @
ACL Mentorship, Online
2020
2020
Talk @ Transformers at Work I, Amsterdam
2018
2018
“The impact of context on machine translation models” @ Machine Learning meetup, Amsterdam Politie, Amsterdam