< Back Belén Saldías WiML Director (2022-2023) Visit my Profile

< Back WiML Social @ ICLR 2023 Kigali, Rwanda The topic of the panel will be AI moving forward, leaving no one behind. We hope to get a conversation going regarding ChatGPT, international collaborations, copyright issues of foundational models etc. Previous Next

All events WiML Workshop 2017 Long Beach, California December 4, 2017 08:00 am — 05:30 pm The 12th annual Women in Machine Learning workshop will be colocated with NIPS 2017 in Long Beach, California in December 2017. See the workshop website for details! The organizers are: Genna Gliner, Ehi Nosakhare, Maja Rudolph, Danielle Belgrave, Negar Rostamzadeh. The invited speakers are: Tamara Broderick, Hanna Wallach, Joelle Pineau, and Nina Mishra, with Jenn Wortman Vaughan and Raia Hadsell giving the opening remarks. Recorded talks can be found at this link . Previous Next

All events WiML Dinner @ ICLR 2019 New Orleans, Louisiana May 6, 2019 07:30 pm — 10:30 pm WiML is hosting a dinner at ICLR 2019 in New Orleans, Louisiana to bring together women in machine learning from different research areas and across all stages of their careers to meet, find mentorship, and learn from each other. The organizer is Jaelle Scheuerman. The invited speakers are Karen Livescu, Alice Oh, and Parisa Kordjamshidi. Date: Monday, May 6, 2019, 7.30pm-10.30pm Venue: Mulate’s, 201 Julia St, New Orleans Registration: https://www.eventbrite.com/e/wiml-iclr-dinner-2019-tickets-60212858280 SPONSORS -Platinum- Previous Next

< Back Sarah Aerni, PhD WiML Director (2021-2023) Visit my Profile

All events WiML Social @ ICLR 2022 Virtual April 25, 2022 7:00 pm - 9:00 pm A one hour Virtual Panel session (45 min + 15 min Q&A from the audience) which will take place on April 25th, 19:00-20:00 GMT. The topic of the panel will be the interplay of academia and geographic location. During the Virtual Panel we hope to encourage discussions about geographically specific challenges experienced in academia. To apply for registration funding go to: https://forms.gle/A6zyMdXt21kHQZNSA Moderated by Dr. Caroline Weis Panelists Include: Akiko Eriguchi, Senior Researcher, Microsoft. Akiko is a Senior Researcher at Microsoft.　Her research interests lie in multilingual NLP and deep learning. With her position in the Microsoft Translator team, she has developed MT systems and multilingual NLP applications. Her work has been published in ACL, EMNLP, etc. She has served as a reviewer for ACL, EMNLP, NeurIPS, AAAI. She is also a 2021-2022 co-organizer of the Workshop on Asian Translation. Prior to joining Microsoft, she was a Research Fellow (DC1) at the Japan Society for the Promotion of Science. She obtained her doctoral degree from the University of Tokyo, Japan, where her PhD thesis received the sixth AAMT Nagao Student award from the Asia-Pacific Association for Machine Translation. Nora Hollenstein, Assistant Professor, University of Copenhagen. Nora is an assistant professor in NLP & Cognitive Science at the University of Copenhagen. Before joining the Center for Language Technology at the University of Copenhagen, Nora was a PhD candidate at DS3Lab at ETH Zurich working on cognitively inspired natural language processing. She was also a lecturer at the Institute of Computational Linguistics of the University of Zurich. The focus of her research lies in enhancing NLP applications with cognitive data such as eye-tracking and brain activity recordings. She is especially interested in multi-modal learning, learning from limited data, and the interpretability and cognitive plausibility of machine learning models. Jessica Schrouff, Senior Research Scientist, Google Research. Jessica is a Senior Research Scientist at Google Research working on machine learning for healthcare. Before joining Google in 2019, she was a Marie Curie post-doctoral fellow at University College London (UK) and Stanford University (USA), developing machine learning techniques for neuroscience discovery and clinical predictions. Throughout her career, Jessica’s interests have lied not only in the technical advancement of machine learning methods, but also in critical aspects of their deployment such as their credibility, fairness, robustness or interpretability. Previous Next

< Back WiML Breakfast @ ICML 2013 Atlanta, Georgia WiML is hosting a breakfast at ICML 2013 in Atlanta, Georgia. Previous Next

< Back Sarah Osentoski, PhD WiML President (2019-2022), Director (2009-2015)

< Back WiML Workshop 2014 Montreal, Canada The 9th annual Women in Machine Learning workshop was colocated with NIPS 2014 in Montreal, Canada in December 2014. Previous Next

All events WiML Luncheon @ CoRL 2018 Zurich, Switzerland October 30, 2018 11:30 am — 01:00 pm WiML is hosting a luncheon at CoRL 2018 in Zurich, Switzerland. The organizer is Aude Billard. Date: Wednesday, October 30, 2018, 11.30am-1pm Venue: Zurich Registration: Register during CoRL registration ( https://sites.google.com/a/robot-learning.org/corl2017/home/corl2018 ) If you see any errors or omissions or have any information to contribute to this page, please contact us at info@wimlworkshop.org Previous Next

All events WiML Workshop 2019 Vancouver, Canada December 9, 2019 08:00 am — 06:00 pm The 14th annual Women in Machine Learning workshop will be colocated with NeurIPS 2019 in Vancouver, Canada in December 2019. See the workshop website for details! The organizers are: Michela Paganini, Sarah Aerni, Forough Poursabzi Sangdeh, Nezihe Merve Gürel, and Bahare Fatemi. Previous Next

All events WiCS AI Research Day @ SFU SFU Burnaby Campus, Burnaby, British Columbia, Canada February 20, 2026 9 AM - 3:30 PM PST A one-day event for undergraduate students at SFU who are passionate about Artificial Intelligence (AI) and Machine Learning (ML). The initiative will support students in defining and improving personal AI projects, with access to mentorship during the event to ask questions and get help. The event aims to: Encourage hands-on learning and creativity in AI. Provide mentorship on ML concepts, project design, and research thinking. Connect students with academic and industry professionals. Celebrate student innovation and support future publication efforts. Key Highlights of WiCS AI Research Day: Expert Talks: Topics include Machine Learning (ML) areas such as Natural Language Processing (NLP), Computer Vision, Human-Computer Interaction (HCI), Robotics, and Speech, featuring experts like Dr. Angelica Lim and Dr. Marzena Karpinska. Student Panel: Opportunities to hear directly from students about their experiences, challenges, and advice in the tech field. Interactive Sessions: Participants can engage in project creation and pitch preparation, aiming to turn ideas into practical ML solutions. Networking: An opportunity to connect with peers and professionals in academia and industry. Previous Next