Search Results
Search this site
374 results found with an empty search
- WiML Luncheon @ KHIPU 2025 | WiML
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
- 3rd WiML Mentorship Program for PhD Applications: Panel on Research Statements | WiML
All events 3rd WiML Mentorship Program for PhD Applications: Panel on Research Statements Virtual October 23, 2023 4:00 pm - 5:00 pm This event, part of the WiML’s 2023-2024 Mentorship Program on the theme of PhD applications, takes place 4-5pm UTC in Zoom. Mentors and mentees of the 2023-2024 Mentorship Program are invited to attend. The panel topic is on “How to write a research statement for Master’s & Ph.D applications in ML”. Panelists: Emma Pierson (Cornell Tech), Sinead Williamson (UT Austin) Moderator: Erin Grant (UC Berkeley) Previous Next
- WiML Workshop 2013 | WiML
All events WiML Workshop 2013 Lake Tahoe, Nevada December 9, 2013 08:00 am — 06:00 pm The 8th annual Women in Machine Learning workshop was colocated with NIPS 2013 in Lake Tahoe, Nevada in December 2013. The workshop website is no longer maintained. The organizers were: Jennifer Healey, Katie Kinnaird, Zornitsa Kozareva, Talieh S. Tabatabaei, Sonia Todorova. 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
- 3rd WiML Mentorship Program for PhD Applications: Panel on Recommendation Letters | WiML
All events 3rd WiML Mentorship Program for PhD Applications: Panel on Recommendation Letters Virtual November 9, 2023 5:00 pm - 6 pm This event, part of the WiML’s 2023-2024 Mentorship Program on the theme of PhD applications, takes place 5-6pm UTC in Zoom. Mentors and mentees of the 2023-2024 Mentorship Program are invited to attend. The panel topic is on “How to ask for a recommendation letter in Master’s & Ph.D applications in ML”. Panelists: Yingzhen Li (Imperial College London), Martha White (University of Alberta), Rose Yu (UC San Diego) Moderator: Erin Grant (UC Berkeley) Previous Next
- 3rd WiML Mentorship Program for PhD Applications: Panel on Fellowship Applications | WiML
All events 3rd WiML Mentorship Program for PhD Applications: Panel on Fellowship Applications Virtual September 27, 2023 4:00 pm - 5:00 pm This event, part of the WiML’s 2023-2024 Mentorship Program on the theme of PhD applications, takes place 4-5pm UTC in Zoom. Mentors and mentees of the 2023-2024 Mentorship Program are invited to attend. Panelists: Luisa Cutillo (University of Leeds), Deepti Raghavan (Stanford University), Andreea Bobu (Boston Dynamics / MIT) Moderator: Erin Grant (UC Berkeley) Previous Next
- WiML Workshop 2015 | WiML
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
- WiML Partner Event: Virtual Women in Science Fireside Chat with Amazon | WiML
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
- WiML-CWS Social @ AISTATS 2022 | WiML
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
- WiML Dinner @ ICML 2019 | WiML
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
- WiML Symposium @ ICML 2026 | WiML
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 Breakfast @ ICML 2015 | WiML
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
- WiML Social @ CoLM 2025 | WiML
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












