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All events WiML Workshop 2015 Montreal, Canada December 7, 2015 07:30 am — 06:00 pm The 10th annual Women in Machine Learning workshop will be colocated with NIPS 2015 in Montreal, Canada in December 2015. See the workshop website for details! The organizers are: Abbie Jacobs, Kate Niehaus, Svitlana Volkova, Maithra Raghu, and Ramya Ramakrishnan. The invited speakers are: Raia Hadsell, Lillian Lee, Been Kim, and Corinna Cortes, with Amy Greenwald, Hanna Wallach, and Jennifer Wortman Vaughan giving the opening remarks. Previous Next

All events WiML Partner Event: Virtual Women in Science Fireside Chat with Amazon Virtual December 9, 2020 11:00 am - 12:30 pm WiML is excited to announce the Virtual Women in Science Fireside Chat by WiML Partner Amazon. Join some of Amazon’s top leaders and researchers in Machine Learning to learn about the valuable knowledge and experience of successful Women in Research at Amazon. These remarkable leaders from Alexa, Consumer and AWS will engage in a casual discussion on innovation, their career path and a Q&A. They are: Na Zhang, ML Science Manager, Customer Trust & Partner Support Vanessa Murdock, Manager Applied Science, Alexa Shopping Nashlie Sephus, Applied Science Manager, Rekognition and Video Katrin Kirchhoff, Senior Manager, Applied Science AWS Transcribe Priya Ponnapalli, Senior Manager, Data Science, AWS ML Solutions Lab These women will share their insights and experiences as women in science and will be covering topics such as navigating your career path, finding a mentor and work life balance. When: Wednesday, December 9th, 2020, 11am – 12.30pm PT Where: Virtual Registration: https://register.gotowebinar.com/register/4812705742642619918 Organized by Amazon. Amazon is a WiML Diamond Partner. Previous Next

All events WiML-CWS Social @ AISTATS 2022 Virtual March 29, 2022 6:00 pm - 7:00 pm Women in Machine Learning (WiML) and the Caucus for Women in Statistics (CWS) are excited to announce a 1-hour social event at AISTATS 2022 on Tuesday, 29 March, starting at 6 PM UTC. The event will start with a couple of icebreaker sessions to encourage networking among participants. In the main part of the event there will be a Q&A with WiML sponsors, WiML board members and CWS board members in an open format: participants are encouraged to come with questions on topics ranging from career advice, time-management, to conducting research topics. Event Format Agenda (all times approximate) 6:00 – 6:10 pm UTC – (10 min) Welcome and opening remarks 6:10 – 6:25 pm UTC – (15 min) small group discussions 6:25 – 6:55 pm UTC – (30 min) Q&A with WiML sponsors, WiML board members and CWS board members 6:55 – 7:00 pm UTC – (5 min) Closing remarks Joining Instructions How to join: You can find the Zoom link on the AISTATS portal: https://virtual.aistats.org/virtual/2022/affinity-event/3686 (AISTATS registration required to access). Event limited to 300 participants. Participant instructions: We suggest preparing one or two lines to describe your work and research, as well as any other topics you may want to discuss. During the Q&A, you can type-in or verbally ask questions for WiML board members and/or our sponsors, so bring any questions you may have! Questions? Email workshop@wimlworkshop.org . By joining the event, you agree to abide by the AISTATS Code of Conduct and WiML Code of Conduct . SPONSORS -Platinum- Previous Next

All events WiML Dinner @ ICML 2019 Long Beach, California June 10, 2019 07:30 pm — 10:00 pm WiML is hosting a dinner at ICML 2019 in Long Beach, California 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. All genders are welcome to attend. The organizer is Sabina Tomkins. The invited speakers are Kamalika Chaudhuri and Barbara Engelhardt. Date: Monday, June 10, 2019, 7.30pm-10.00pm Venue: 108 Yoga Studio Event Space, 237 Long Beach Blvd, Long Beach. Food catered by Ahimsa Vegan Cafe Registration: To accommodate increased demand, we are piloting a new registration process. There are two things you need to do to register for this event: 1. If you already have an access code, go directly to Step 2. Otherwise, fill in this Google Form ( https://forms.gle/VP2DJr9YwuvfQp5p6 ) to obtain an access code. 2. Go to this Eventbrite page starting May 26th 1pm Eastern Time to use your access code to register. If the event is sold-out, check Eventbrite again on June 7th 1pm Eastern Time, when more spots will open up. SPONSORS -Platinum- Previous Next

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

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 Breakfast @ ICML 2015 Lille, France July 8, 2015 07:00 am — 08:30 am WiML is hosting a breakfast at ICML 2015 in Lille, France. The breakfast is designed to facilitate networking and mentoring for women in machine learning, with specified table topics ranging from advice on career planning to establishing collaborations. Date: Wednesday, 8 July 2015, 7am-8.30am Venue: Room Rotterdam, Lille Grand Palais, 1 Boulevard des Cites-Unies, Lille Registration: https://www.eventbrite.com/e/wiml-icml-breakfast-2015-registration-16531922425 If you see any errors or omissions or have any information to contribute to this page, please contact us at info@wimlworkshop.org SPONSORS Previous Next

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

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 Symposium @ ICML 2025 Vancouver, Canada July 16, 2025 9:30 AM - 5:00 PM The Women in Machine Learning Symposium @ ICML 2025 is an inclusive, community-centered event that is happening on Wednesday, July 16th, in person as part of the ICML 2025 conference in Vancouver, Canada. 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 2nd WiML Mentoring Program for PhD Applications: Panel on Recommendation Letters Virtual October 20, 2022 9:00 am - 10:00 am 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. Panelists: Mercy Asiedu (Google), Sabina Tomkins (University of Michigan), Arthur Gretton (UCL), Matt Kusner (UCL) Moderator: Erin Grant (UCL) Previous Next

All events WiML Partner Event: Women of NeurIPS Dinner with QuantumBlack Vancouver, Canada December 10, 2019 06:45 pm — 09:00 pm WiML is excited to announce a co-hosted Women of NeurIPS Dinner with QuantumBlack. Please join for an evening of learning and discussion with thought leaders in data science and machine learning. The event will include networking and dinner with a discussion on ‘Fairness in Machine Learning’ as well as ‘Kedro’, QuantumBlack’s first ever open-source Python library for building robust production-ready data and analytics pipelines. When: December 10 2019, 6:45pm – 9:00pm Where: Water St. Cafe, Vancouver, Canada If you’d like to join, please apply to attend here: https://events.quantumblack.com/womenofneurips Organized by QuantumBlack. Questions? Contact Laura Proudlock at laura.proudlock@quantumblack.com or Amelia Sherren at amelia.sherren@quantumblack.com . QuantumBlack is a WiML Platinum Partner. Previous Next