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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 Luncheon @ COLT 2019 Phoenix, Arizona June 26, 2019 12:30 pm — 02:00 pm WiML is hosting a luncheon at COLT 2019 in Phoenix, Arizona. The organizer is Ruth Urner. Date: June 26, 12:30-2pm in room 102A Location: Phoenix, ArizonaVenue: Phoenix Convention Center Registration: Register during COLT registration ( http://learningtheory.org/colt2019/ ). If you registered for COLT but did not register for the WiML lunch, check if you can amend your registration to add WiML lunch registration. If not, email Ruth Urner (ruth AT eecs DOT yorku DOT ca) to attend the lunch. If you are not attending COLT but wish to attend the lunch, also email Ruth. SPONSORS -Platinum- Previous Next

All events WiML Workshop @ NeurIPS San Diego 2025 San Diego, CA, USA. December 2, 2025 20th Women in Machine Learning Workshop (WiML 2025) — the workshop is co-located with NeurIPS on Tuesday, December 2, 2025. For more information, please visit the event’s website here. Registration WiML Workshop @ NeurIPS — Tuesday, December 2, 2025 Register here→ https://luma.com/rl9urp5b WiML Reception–20th Anniversary Celebration — Wednesday, December 3, 2025 Register here → https://luma.com/zqblpt09 Previous Next

All events WiML Workshop 2007 Orlando, Florida October 17, 2007 09:00 am — 05:40 pm The 2nd annual Women in Machine Learning workshop was colocated with Grace Hopper Celebration of Women in Computing 2007 in Orlando, Florida in October 2007. The workshop website is no longer maintained. The organizers were: Hila Becker and Bethany Leffler, with faculty advisor Joelle Pineau. The invited speakers were: Kiri Wagstaff, Marta Arias, Nina Mishra, and Sally Goldman. 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 Partner Event: New England Women in AI Workshop with IBM Research Cambridge, Massachusetts September 19, 2019 02:45 pm — 06:00 pm WiML is excited to announce t he New England Women in AI Workshop 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. This year, the workshop will include talks, a panel, and a networking reception highlighting the work of women in AI. All are welcome to attend. When: Thursday, September 19th, 2019 Where: Samberg Conference Center , 7th Floor, MIT Building E52, Cambridge, MA Registration: The event is open and free but registration is required at https://www.eventbrite.com/e/ibm-wiml-partner-event-new-england-women-in-ai-workshop-2019-workshop-registration-70284381477 . Organized by IBM Research. Questions? Contact Kristen Severson at kristen.severson@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 Reception @ NeurIPS Mexico City 2025 Ciudad de México, México November 30, 2025 9 am to 12.30 pm LatinX in AI is proud to share its joint affinity group half-day workshop, with Women in Machine Learning and Queer in AI, happening at the official co-location of the NeurIPS 2025 conference in Mexico City. For more information, please visit the event’s website here. This event will take place on November 30th at the Hilton Mexico City Reforma from 9:00 AM to 12:30 PM. Registration WiML and LatinX in AI Reception — Sunday, November 30 Register here → https://luma.com/4g8258pe WiML and Queer in AI at LatinX in AI Workshop — Sunday, November 30 Register here→ https://www.latinxinai.org/registration 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 Workshop 2012 Lake Tahoe, Nevada December 3, 2012 08:00 am — 06:00 pm The 7th annual Women in Machine Learning workshop was colocated with NIPS 2012 in Lake Tahoe, Nevada in December 2012. The workshop website is no longer maintained. The organizers were: Tamara Broderick, Minmin Chen, Pallika Kanani, and Tejaswini Narayanan, with faculty advisor Raquel Urtasun. 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 4th WiML Mentorship Program for PhD Applications: Panel on CV and Cover Letters Virtual October 8, 2024 8:00 am - 9:00 am This event, part of the WiML’s 2024-2025 Mentorship Program on the theme of PhD applications, takes place 8-9am PT in Zoom. Mentors and mentees of the 2024-2025 Mentorship Program are invited to attend. Panelists: Arpita Singhal (Stanford), Tijana Zrnic (Stanford), Duroux Diane Magali Anna (ELLIS) Moderator: Luisa Cutillo (University of Leeds) We will cover: Key tips and advice for the graduate programs application process Overview of research areas and opportunities in ML at the ELLIS program (Europe) and other US-based institutions Q&A session to answer participant questions 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 Workshop 2009 Vancouver, Canada December 7, 2009 08:00 am — 06:00 pm The 4th annual Women in Machine Learning workshop was colocated with NIPS 2009 in Vancouver, Canada in December 2009. The workshop website is no longer maintained. The organizers were: Finale Doshi, Inmar Givoni, and Farheen Omar, with faculty advisor Daphne Koller. The invited speakers were: Kristen Grauman, Dana Pe’er, Odelia Schwartz, and Michèle Sebag, 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