All events WiML Social @ CoLM 2025 Montreal Convention Centre (Palais des congrès de Montréal) October 7, 2025 1:00 PM - 2:30 PM EST Program Join us for a casual networking lunch designed to connect you with peers, leaders, and mentors in the AI community. You'll get to hear from experts, participate in mentorship roundtable discussions, and meet new people in our open networking sessions. We welcome and encourage participation from our allies! 1:00 PM | Featured Remarks from Leading Experts Nazneen Rajani (Collinear AI) Jessy Li (UT Austin) Arathi Mani (UK AI Security Institute) Anaelia Ovalle (FAIR) Our speakers would be around after the session should you wish to interact with them! 1:30 PM - 2:30 PM | Mentorship Roundtables and Open Networking Choose between open networking or mentorship roundtables: Balancing Career & Life with Julia Kreutzer (Cohere) and Mor Geva Pipek (Tel Aviv University) Keeping Pace with AI Research with Sweta Agrawal (Google) and Ruqi Zhang (Purdue University) Careers in Industry with Olga Golovneva (Meta AI Research Labs), Bahare Fatemi (Google), and Spandana Gella (ServiceNow AI Research) Responsible AI in Practice with Adina Williams (FAIR) and Saadia Gabriel (UCLA) Open Networking : Reconnect with old colleagues and build new connections! For additional information, check Luma or email at nikitasaxena@wimlworkshop.org . Organizing Committee Nikita Saxena Nikita Saxena is a WiML Board Member and was the co-liaison of the WiML@CoLM social. She is a Research Engineer at Google DeepMind, working on enhancing the multimodal understanding and generation capabilities of Gemini in close collaboration with Ishita Dasgupta and Isabelle Guyon . She graduated from BITS Pilani in 2023 with a dual major in physics and computer science. She completed her thesis at the Mila Quebec AI Institute under the supervision of Professor Yoshua Bengio . Santhoshi Santhoshi Ravichandran completed her Master’s in Computer Science at Mila / Université de Montréal, where she was a Visiting Researcher at ServiceNow, evaluating and fine-tuning web agents using reinforcement learning. Her past work spans detecting fraudulent transactions in capital markets and developing machine learning solutions to enhance accessibility for visually impaired users. Zena Kamel Zina Kamel is a research Master’s student in Computer Science at McGill University and Mila, where she is a McCall MacBain Scholar. She completed her Bachelor’s degree in Computer Science at the Lebanese American University in 2024 through the MEPI Tomorrow’s Leaders scholarship. Her research focuses on improving reasoning and representation in world models. Minseon Kim Minseon Kim is a postdoctoral researcher at Microsoft Research, ML team, in Montréal. She received her Ph.D. from KAIST in 2025, where her thesis, “Towards Safe and Robust Representation with Self-Supervised Learning,” explored methods to improve model robustness and trustworthiness. Her research focuses on AI safety and controllability, aiming to design systems that can reason about context and handle ambiguous or risky situations more reliably. Recent work investigates context-aware inference, safety modularity, and efficient safety alignment techniques for large language models. WiML Board Organizers Erin Grant – D&I chair Tatjana Chavdarova – VP Events WiML Previous Next

< Back WiML Workshop 2009 Vancouver, Canada The 4th annual Women in Machine Learning workshop was colocated with NIPS 2009 in Vancouver, Canada in December 2009. Previous Next

< Back WiML Virtual Social @ ICLR 2021 Virtual WiML is hosting a virtual social, involving a panel discussion and socializing, at ICLR 2021 on Monday, May 3, 9.00am – 11.00am Eastern Time. The panel will take place in Zoom. 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 Luncheon @ COLT 2025 lyon, France February 7, 2025 WiML is endorsing a luncheon at COLT 2025 in Lyon France. The event is meant to be a social and networking event for women and/or non-binary researchers in learning theory, as well as allies. The luncheon organized by Claire Vernade includes a networking activity, and a short panel on “Learning Theory: Research Directions in the Age of Foundations Models”. Additional information/ registration: Here 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 WiML Reception @ NeurIPS Mexico City 2025 Ciudad de México, México WiML Reception @ NeurIPS Mexico City 2025 Previous Next

WiML Statements and Calls serves as a repository for the organization's official statements on inclusivity and related matters, as well as announcements for leadership and employment opportunities within WiML. This page reflects WiML's dedication to promoting diversity, ethical standards, and active participation in leadership roles within the machine learning community.​ WiML+2 WiML Statements and Calls Statements on Inclusivity from WiML: First Statement from the Women In Machine Learning Executive Board on Inclusivity Second Statement from the Women In Machine Learning Executive Board on Inclusivity Black Lives Matter Statement for Dr. Timnit Gebru Calls for WiML Board of Directors: 2022 WIML Board of Directors–General 2021 WiML Board of Directors — General 2019 WiML Board of Directors — Policy and Research Committee 2019 WiML Board of Directors — Treasurer Call for WiML Full-time Employee: 2021 WiML Operations Administrator

< Back Amy Zhang, PhD WiML Director Visit my Profile

< Back Nevena Lazic, PhD WiML Director (2009-2012)

< Back 2nd WiML Mentoring Program for PhD Applications: Panel on Next Steps Virtual This event, part of the WiML’s 2022-2023 Mentorship Program on the theme of PhD applications, takes place 9-10am PT in Zoom. Mentors and mentees of the 2022-2023 Mentorship Program are invited to attend. Previous Next

We work to increase awareness and appreciation of the achievements of women in machine learning. Our programs help women build their technical confidence and their voice, and our publicity efforts help ensure that women in machine learning and their achievements are known in the community. Empowering Women in Machine Learning: Amplifying Achievements, Elevating Voices Our Projects ABOUT WIML Shining a Spotlight on Women's Excellence in Machine Learning: Inspiring the Next Generation We work to increase awareness and appreciation of the achievements of women in machine learning. Our programs help women build their technical confidence and their voice, and our publicity efforts help ensure that women in machine learning and their achievements are known in the community. See Our Events OUR PROJECTS Building Leaders, Bridging Gaps MENTORSHIP We run yearlong mentorship programs to help women working in machine learning give and receive advice, gain knowledge, and make connections. DIRECTORY We maintain a directory of women working in machine learning. Are you a woman or gender minority in the field of Machine Learning? Add yourself to the Directory by creating an account. PROFILES We post profiles highlighting the research and technical accomplishments of women working in machine learning. Read their profiles here and follow us on Facebook to receive updates when new profiles are posted.