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David Ifeoluwa Adelani (david.adelani@mcgill.ca, he/him) is an Assistant Professor at McGill School of Computer Science, Canada and a Core Academic Member at MILA, and a Canada CIFAR AI Chair (in 2024). Previously, he was a DeepMind Academic Fellow at UCL, and a obtained his PhD in Computer Science at Saarland University. He specializes in machine learning, multilingual NLP, and NLP for low-resource languages, focusing on machine translation, multilingual representation learning, and cross-lingual transfer learning. His expertise extends to speech processing, including text-to-speech, speech recognition, speech representation learning, and speech translation.
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Alvin Grissom II (agrissom@haverford.edu, he/him) is an Associate Professor of Computer Science at Haverford College.
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Zhijing Jin (zjin@cs.toronto.edu, she/her) is an incoming Assistant Professor at the University of Toronto, as well as a CIFAR AI Chair, ELLIS advisor, faculty member at the Vector Institute, and faculty affiliate at the Schwartz Reisman Institute. She is currently a postdoc at Max Planck Institute for Intelligent Systems in Germany. Her research focuses on causal inference for NLP, with a focus on Responsible AI applications. Together with Rada Mihalcea and many others, she co-organizes many NLP for Positive Impact Workshops at *CL conferences, as well as the ACL Year-Round Mentorship.
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Min-Yen Kan (kanmy@comp.nus.edu.sg, he/him): Associate Professor at the National University of Singapore and a co-chair of the ACL Ethics Committee. He has taught over 5,000 graduate and undergraduate students on his research interests in digital libraries, information retrieval and natural language processing.
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Seunghun J. Lee (seunghun@icu.ac.jp, he/him) is a Senior Associate Professor of Linguistics at the International Christian University, a liberal arts college in Tokyo, Japan. I am also an Adjunct Professor of African Languages at the University of Venda in South Africa, and an Honorary Associate Professor in the Centre for Linguistic Science & Technology at the Indian Institute of Technology Guwahati in India.
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Margot Mieskes (margot.mieskes@h-da.de, she/her) is a Professor for Information Science at the University of Applied Sciences, Darmstadt, Germany. She works in Computational Linguistics (CL) and Natural Language Processing (NLP), focusing on automatic summarization, evaluation methods, data quality, emotion detection, ethics, experiment reproducibility, and biases in large language models.
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Aurélie Névéol (aurelie.neveol@lisn.fr, she/her) is a CNRS Researcher at LISN (formerly, LIMSI) working on clinical and biomedical Natural Language Processing. Her research interests include information extraction and knowledge representation in specialized domains. Her research addresses both methods and applications of biomedical text analysis, ranging from explorations of representation models and their cross-language or cross-domain adaptability, to the integration of representation frameworks to extract new medical knowledge from clinical text. She also has a strong interest in ethics issues related to the development, evaluation and deployment of Natural Language Processing systems.
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Adriana Silvina Pagano (apagano@ufmg.br, she/her) is a Full Professor in Applied Linguistics at the Federal University of Minas Gerais, Brazil, teaching and supervising students. As a CNPq and FAPEMIG research fellow, she investigates multilingual text production and models multilingual texts. She collaborates internationally and co-leads an interdisciplinary group focusing on NLP and healthcare studies.
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Fanny Ducel (fanny.ducel@universite-paris-saclay.fr, she/her) is a PhD candidate at the Université Paris-Saclay, in France. She works on stereotypical biases in LLMs. She also teaches ethics to international NLP graduates at the Université de Lorraine (France).
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Guido Ivetta (guidoivetta@mi.unc.edu.ar, he/him) is a PhD candidate at the Universidad Nacional de Córdoba, in Argentina. His work focuses on language model calibration and biases.
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Punya Syon Pandey (punya.pandey@mail.utoronto.ca, he/him) is a research assistant at the University of Toronto, in Canada. His work focuses on adversarial robustness in LLMs and evaluating multi-agent interactions.
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Esther Gan (esther.gan@u.nus.edu, she/her) is a PhD candidate at National University of Singapore. Her work focuses on LLM trustworthiness and adversarial robustness.
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