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WIML Events Filter items by Event Type. Endorsed Events Mentorship Program Socials & Networking Symposium Workshops WiML Symposium @ ICML 2026 Seoul, South Korea July 8, 2026 Read More WiML Social @ ICLR 2026 Rio de Janeiro April 24, 2026 Read More WiML @ Data & AI Careers Festival 2026 Woodhouse, England March 24, 2026 Read More WiCS AI Research Day @ SFU SFU Burnaby Campus, Burnaby, British Columbia, Canada February 20, 2026 Read More WiML Social @ EurIPS 2025 Treehouse, Bella Center, Copenhagen December 3, 2025 Read More WiML Workshop @ NeurIPS San Diego 2025 San Diego, CA, USA. December 2, 2025 Read More 15 Page 1

All events WiML Symposium @ ICML 2026 Seoul, South Korea July 8, 2026 9:30 AM - 5:00 PM The Women in Machine Learning Symposium @ ICML 2026 is an inclusive, community-centered event happening on Wednesday, July 8th, in person as part of the ICML 2026 conference in Seoul, South Korea. The program features invited talks, a panel discussion, poster sessions, mentoring round tables, breakout Q&As, and community networking opportunities. Additional information can be found here . Previous Next

All events WiML Partner Event: New England Women in ML Event with IBM Research Cambridge, Massachusetts April 19, 2019 03:45 pm — 06:00 pm WiML is excited to announce an event by WiML Partner IBM Research in the Cambridge area. The goal is to encourage and support local women, especially students, post-docs, early career researchers and engineers, by offering seminars from thought-leading women in ML, providing opportunities to present their own research, and connecting them to mentors, role models and colleagues. Join the event this Thurs 6/20. Speakers and activities include: – A talk by Tamara Broderick (Assistant Professor, MIT) on “Approximate Cross Validation for Large Data and High Dimensions”. – Reception immediately after the event. When: Thursday June 20, 2019, 4:00pm – 5:00pm with reception immediately after the event Where: IBM Research Cafe, 75 Binney St. Cambridge, MA Organized by IBM Research. Questions? Contact Preethi Raghavan at praghav@us.ibm.com . Thanks to the organizers Lisa Amini (IBM Research), Preethi Raghavan (IBM Research), Kristen Severson (IBM Research). IBM Research is a WiML Platinum Partner. Previous Next

All events WiML Workshop 2006 San Diego, California December 4, 2006 08:45 am — 06:00 pm The 1st Women in Machine Learning workshop was colocated with Grace Hopper Celebration of Women in Computing 2006 in San Diego, California in October 2006. The workshop website is no longer maintained. The organizers were: Hanna Wallach, Jenn Wortman, and Lisa Wainer, with faculty advisor Amy Greenwald. The invited speakers were: Jennifer Dy, Amy Greenwald, Lise Getoor, and Marie desJardins. 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 Virtual Gathering @ COLT 2020 Virtual July 8, 2020 11:00 am — 12:00 pm WiML is hosting a virtual gathering at COLT 2020. The organizers are Claire Vernade and Ruth Urner. A panel discussion will be held on topics including career advice and mentoring. The panelists are: Alina Beygelzimer Alexandra Carpentier Kamalika Chaudhuri Sandra Zilles Date: July 8, 11am ET Registration: https://forms.gle/EecL5Nkj4yLGp3Xa8 SPONSORS -Platinum- -Diamond- Previous Next

All events WiML Virtual Social @ KDD 2021 Virtual August 15, 2021 2:15 pm - 3:00 pm WiML is hosting a virtual social at KDD 2021 on Sunday, August 15, 2.15pm – 3pm Eastern Time. The event is part of the Women in KDD Workshop and consists in a mentoring and networking session conducted on the Icebreaker/Gatheround platform. Joining Information How to join: Everyone registered for KDD is encouraged to attend! Event limited to 200 participants. The Icebreaker/Gatheround link will be shared in Zoom at the end of the panel (see Women in KDD Workshop and https://virtual.2021.kdd.org/women_in_ai.html for Zoom link). Icebreaker/Gatheround will ask you to give it permission to access your camera and microphone. Google Chrome browser recommended. Questions? Email workshop@wimlworkshop.org . By joining the event, you agree to abide by the WiML Code of Conduct . SPONSORS -Platinum- Previous Next

All events WiML Social @ EurIPS 2025 Treehouse, Bella Center, Copenhagen December 3, 2025 10:00-14:30 We are happy to invite you to the Women in Machine Learning (WiML) social co-located with EurIPS 2025 at The Tree House, Bella Center, Copenhagen. Registration WiML Social @ EurIPS — Wednesday, December 3, 2025 Register here → https://luma.com/rs5val4p Be aware that, to attend the event, you must be registered to the EurIPS conference: https://eurips.cc/ The WiML @ EurIPS 2025 social will be held in person with invited speakers, oral presentations, and posters. The event brings together members of the academic and industry research landscape for an opportunity to connect and exchange ideas, and learn from each other. Underrepresented minorities and undergraduates interested in pursuing machine learning research are encouraged to participate. All genders are invited to attend. Program 10:00 - 10:10: Opening remarks 10:10 - 10:40: Invited talk - Lina Jaurigue: “Reservoir Computing for On-Device ML for Hearing Aid Improvement” 10:40 - 11:00: Best Posters Short Talks (10min each) 11:00 - 11:30: Panel: “Navigating uncertainty and long-term career sustainability in Europe’s evolving ML landscape” - Panelists: Isabel Valera, Lina Jaurigue, Vinti Agarwal 11:30 - 12:30: Networking/mentoring activities 12:30 - 13:30: Lunch +Closing Remarks 13:30 - 14:30: Poster session We’re delighted to host Google’s sponsor booth from 11:30 to 13:30! Organizing Committee WiML Social Organizers Ana Lucic ( Website : https://a-lucic.github.io/ ) I am an assistant professor in AI at the University of Amsterdam, with a joint position between the Institute for Logic, Language, and Computation, and the Informatics Institute. My work focuses on interpretable machine learning for the natural sciences. Previously, I was a researcher at Microsoft Research AI for Science, where I was one of the core scientists behind the Aurora foundation model. I was also a research fellow at the Partnership on AI. I have a PhD in explainable ML from the University of Amsterdam, supervised by Maarten de Rijke and Hinda Haned. My MSc and BSc are both in mathematics from McMaster University. Stella Grasshof ( Website : https://stellagrasshof.com/ ) I am an Assistant Professor in the Data Science section at the IT University of Copenhagen and at the Pioneer Centre for Artificial Intelligence. I hold an M.Sc . in Computational Life Science from Universität zu Lübeck and a Dr.-Ing. (PhD) from the Leibniz Universität Hannover (Germany). My research lies at the intersection of human-centred machine learning and visual computing, with a focus on generative AI for images and video, human faces and motion, computer vision, and applications in mental health. Additionally, I am part of the Lundbeck Foundation Investigator Network (LFIN), where I serve as a board member. WiML Board Liaisons – WiML EurIPS liaison Giulia Clerici ( Website: https://clericigiulia.com/ ) -WiML Vice President of Events Tatjana Chavdarova ( Website: https://chavdarova.github.io/ ) -WiML Vice President of Programs Alessandra Tosi - (Website: https://www.linkedin.com/in/alessandra-tosi-824a78a3/ ) Thanks to our Sponsors! Platinum Gold Silver Bronze Previous Next

All events WiML Workshop @ NeurIPS 2023 New Orleans, Louisiana December 11, 2023 8:00 am - 4:30 pm 18th Women in Machine Learning Workshop (WiML 2023) — the workshop is co-located with NeurIPS on Monday, December 11th, 2023. For more information or to register, please visit the event’s website here. Previous Next

All events WiML Workshop 2018 Montreal, Canada December 3, 2018 09:00 am — 10:00 pm The 13th annual Women in Machine Learning workshop will be colocated with NeurIPS 2018 in Montreal, Canada in December 2018. See the workshop website for details! The organizers are: Aude Hofleitner, Audrey Durand, Nyalleng Moorosi, Sarah Poole, and Amy Zhang. The invited speakers are: Isabel Kloumann, Po-Ling Loh, Raquel Urtasun, and Emma Brunskill, with Katie Kinnaird giving the closing remarks. Recorded talks can be found at this link . Previous Next

All events WiML Social @ ICLR 2026 Rio de Janeiro April 24, 2026 12:00 PM – 3:00 PM Date: April 24, 2026 Time: 12:00 PM – 3:00 PM Location: Room 203C, Centro de Convenções / Convention Center The Women in Machine Learning (WiML) Social at ICLR 2026 is an opportunity to connect with members of the WiML community in an informal and welcoming setting. The event will bring together researchers and practitioners from academia and industry to foster meaningful conversations, exchange experiences, and build new connections. This year’s social will feature a panel discussion on: There’s no single path: Navigating careers in academia, industry, and beyond. The panel will explore different career trajectories in machine learning, highlighting transitions across academia, industry, and other paths. Panelists will share their experiences, challenges, and perspectives on building a career in ML, followed by an open discussion with the audience. Program 12:00 PM – 12:10 PM Opening Remarks 12:10 PM – 12:30 PM Icebreaker Game 12:30 PM – 1:45 PM Networking & Lunch 1:45 PM – 2:45 PM Panel Discussion 2:50 PM – 2:55 PM Closing Remarks Panelists Aleksandra Faust Aleksandra Faust is a Director of Research at Google DeepMind, where she leads Frontier AI Health efforts. Her research focuses on foundation models and world models for complex adaptive systems, treating the AI design pipeline as a learnable, sequential, and self-improving decision-making process. This methodology has driven state-of-the-art improvements across drug discovery, robotics, autonomous driving, and web agents, and led to her founding the field of Automated Reinforcement Learning (AutoRL). Notably, she co-authored the seminal "Levels of AGI" framework and led the Gemini Self-improvement research team, developing the reinforcement learning methods behind the Gemini model family. Previously, Aleksandra served as Chief AI Officer at Genesis Molecular AI and held foundational leadership roles at Google Brain, Google Robotics, and Waymo/X. Earlier in her career, she was a Senior R&D Engineer at Sandia National Laboratories. Faust holds a Ph.D. in Computer Science with distinction from the University of New Mexico and an M.S. from the University of Illinois at Urbana-Champaign. She is an IEEE Fellow and a recipient of the IEEE RAS Early Career Award for Industry and the Tom L. Popejoy Dissertation Award, and was named a Distinguished Alumna of the UNM School of Engineering. Her work has been featured in The New York Times, The Economist, and Forbes, and has received multiple Best Paper Awards at premier robotics, machine learning, and systems architecture venues. https://www.afaust.info/ Franziska Boenisch Franziska Boenisch is a tenure-track faculty at the CISPA Helmholtz Center for Information Security, where she co-leads the SprintML lab. Her research focuses on private and trustworthy machine learning; during her Ph.D. at Freie Universität Berlin and Fraunhofer AISEC she pioneered the notion of individualized privacy in ML. Before joining CISPA, she was a Postdoctoral Fellow at the University of Toronto and the Vector Institute. She received an ERC Starting Grant in 2025 for research on privacy in foundation models and has been recognized with the Fraunhofer ICT Dissertation Award (2023), a GI Junior Fellowship (2024), and a Werner‑von‑Siemens Fellowship (2025). https://franziska-boenisch.de/ Noa Garcia Noa Garcia is an Associate Professor at the Institute for Advanced Co-Creation Studies and D3 Center, The University of Osaka (Japan). She earned her Ph.D. in Computer Science from Aston University (UK), specializing in multimodal retrieval and instance-level recognition. She moved to Japan in 2018 as a postdoc, and has been conducting research at The University of Osaka since then. Her research sits at the intersection of computer vision, natural language processing, fairness, and art. Her recent work includes investigating demographic bias in computer vision, analyzing visual datasets, and exploring how generative models can reinforce social stereotypes. https://www.noagarciad.com/ Valentina Pyatkin Valentina Pyatkin is a postdoctoral researcher at the Allen Institute for AI and the University of Washington. Additionally, she is affiliated with the ETH AI Center, where she mentors students and works on post-training for the Swiss AI Initiative. She obtained her PhD in Computer Science from Bar Ilan University. Her work has been awarded an ACL Outstanding Paper Award and the ACL Best Theme Paper Award, and has been supported by a Schmidt Sciences Postdoctoral Award. During her doctoral studies, she conducted research internships at Google and the Allen Institute for AI, where she received the AI2 Outstanding Intern of the Year Award. https://valentinapy.github.io/ Moderator Karen Ullrich Karen is a research scientist at FAIR NY and she is actively collaborating with researchers from the Vector Institute and the University of Amsterdam. Her main research focus lies in the intersection of information theory and probabilistic machine learning / deep learning. She completed her PhD under the supervision of Prof. Max Welling. Prior to that, she worked at the Austrian Research Institute for AI, Intelligent Music Processing and Machine Learning Group lead by Prof. Gerhard Widmer. https://karenullrich.info/ WiML Social Organizers Ivona Najdenkoska Ivona is a postdoctoral researcher at the University of Amsterdam. Her research focuses on multimodal foundation models and generative AI, with an emphasis on scalable vision–language understanding and generation. She also works on AI-generated image detection, developing robust methods for distinguishing synthetic from real content. She recently completed her PhD at the University of Amsterdam under the supervision of Marcel Worring and Yuki Asano, where her work focused on learning from context with multimodal foundation models. During her PhD, she spent time at Meta working on context-aware image generation. She is also a member of the ELLIS Society, and her research has been published at leading AI conferences, such as ICLR and ECCV. Paula Feldman Paula is a postdoctoral researcher working at the intersection of AI and medical imaging at Weill Cornell Medicine. Her work focuses on generative AI and cardiovascular applications, collaborating closely with clinical teams as part of the group led by Mert Sabuncu. She completed her PhD at Universidad Torcuato Di Tella and Universidad Nacional del Sur under the supervision of Emmanuel Iarussi and Claudio Delrieux, where her research focused on deep generative modeling of 3D vascular structures. Her research has been published in leading conferences and journals in the field, including venues such as MICCAI and the journal Medical Image Analysis. More broadly, she is interested in multimodal learning and synthetic data generation. Mila Soares de Oliveira de Souza Mila de Oliveira is a research software engineer currently working on AI applications to address public health challenges in Brazil. She completed her MSc in Electrical Engineering (Computer Vision) at the Universidade Federal do Rio de Janeiro, where she developed baseline methodologies for real-time detection of breeding sites of Aedes aegypti (primary vector of dengue, the most pressing public health threat in Brazil) under the supervision of Eduardo Antonio Barros da Silva and Sergio Lima Netto. She has extensive experience in software engineering for AI products in industry, having previously worked at Apple and Microsoft Advanced Technology Labs. Her current interests include GPU programming, machine learning compilers and formal verification of algorithms using proof assistants, as well as broader applications of ML in healthcare and science. We welcome all ICLR attendees to join us for an afternoon of discussion, networking, and community building. Additionally, we are collecting CVs to share with our sponsors who are actively recruiting: 👉 https://forms.gle/4FasmbmiLBh5zqyu6 Thanks to our sponsors Previous Next

All events WiML Partner Event: Women in ML&AI @Cambridge Event with IBM Research Cambridge, Massachusetts October 4, 2018 03:00 pm — 06:00 pm WiML is excited to announce a new initiative by WiML Partner IBM Research: a Women in ML and AI community for the Boston-Cambridge area. Starting with this inaugural event during IBM AI Research Week 2018, IBM Research will begin hosting events for Women in ML and AI in the Cambridge area. The goal is to encourage and support local women, especially students, post-docs, early career researchers and engineers, by offering seminars from thought-leading women in ML, opportunities to present their own research, and find mentors, role models and colleagues. Join the kickoff event this Thurs 10/4. Speakers and activities include: – Talks by Sasha Mojsilović (IBM Fellow, IBM Research AI) and Katherine Gorman (Talking Machines) on AI for social good and how to present your research. – Panel “Next Steps and Great Leaps for AI and Us” with AI/ML experts from academia and industry: Jennifer Dy (Northeastern), Yiling Chen (Harvard), Vivienne Sze (MIT), Eni Mustafaraj (Wellesley), Janet Slifka (Janet Slifka), Kate Saenko (Boston U), Tina Eliassi-Rad (Northeastern), Sravana Reddy (Spotify) – Mentoring Roundtables: Actively engage with AI/ML researchers and engineers on a range of technical and career-related topics. When: Thursday, October 4, 2018, 3pm-6pm Where: IBM Research Cambridge, 75 Binney St, First Floor Auditorium, Cambridge Event details: https://ibm.co/2RiTPXQ Registration: The event is open and free but registration is required at https://www.eventbrite.com/e/women-in-machine-learning-and-ai-cambridge-workshop-registration-50360270926 Organized by IBM Research. Questions? Contact Preethi Raghavan at praghav@us.ibm.com . Thanks to the organizers Lisa Amini (IBM Research), Preethi Raghavan (IBM Research), Amanda Papp (IBM), Ehimwenma Nosakhare (MIT). IBM Research is a WiML Platinum Partner. Previous Next

All events WiML Luncheon @ KHIPU 2025 Universidad de Chile, Santiago, Chile and virtual March 14, 2025 We're building a vibrant community of AI leaders, researchers, and enthusiasts dedicated to: ● Advancing AI education through free, world-class training ● Connecting and empowering Latin American AI talent across borders ● Unleashing AI's potential to address challenges and create opportunities in the region We believe in inclusive participation. KHIPU 2025 offers free registration for all accepted participants and travel support for selected students. A networking lunch will be offered on Friday 14th March. The idea is to give advice on topics which are usually challenging, such as interviews or salary negotiation. Organizer: KHIPU Additional information can be found here or email at jdunstan@uc.cl . Previous Next