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All events WiML Un-Workshop @ ICML 2023 Honolulu, Hawai'i July 28, 2023 9:35 am - 10:50 am The 4th WiML Un-Workshop is co-located with ICML on Friday, July 28th, 2023. For more information or to register, please go here. Previous Next

All events WiML @ AAAI-25 Women’s Mentoring Lunch Philadelphia, PA, USA March 2, 2025 12:30pm ET to 2:00 pm ET The AAAI-25 Women’s Mentoring Lunch is an event for women and non-binary students and early career researchers to make connections with their peers and leaders in our field. Brief introductory remarks and/or a panel discussion will prime discussion over lunch in smaller breakout groups, where participants can freely discuss issues affecting their career goals and overall well-being, such as managing technical demands of research, managing the job market, managing work-life balance, and so on. Our aim is to create a safe, welcoming, and inclusive environment where connections of all types (mentor-mentee, peer-peer) can be made and persist over future conference Organizers: Maria Chang, Paula Rodriguez-Diaz Additional information can be found Here or by email maria.chang@ibm.com . Previous Next

All events WiML Workshop 2016 Barcelona, Spain December 5, 2016 08:00 am — 05:00 pm The 11th annual Women in Machine Learning workshop will be colocated with NIPS 2016 in Barcelona, Spain in December 2016. See the workshop website for details! The organizers are: Diana Cai, Deborah Hanus, Sarah Tan, Isabel Valera, and Rose Yu. The invited speakers are: Jennifer Chayes, Maya Gupta, Anima Anandkumar, and Suchi Saria, with Tamara Broderick and Sinead Williamson giving remarks on WiML updates. Recorded talks can be found at this link . Previous Next

All events WiML Workshop @ NeurIPS 2024 Vancouver, Canada December 10, 2024 19th Women in Machine Learning Workshop (WiML 2024) — the workshop is co-located with NeurIPS on Tuesday, December 10th, 2024. 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 Luncheon @ ICML 2011 Bellevue, Washington June 30, 2011 12:00 pm — 01:40 pm WiML is hosting a luncheon at ICML 2011 in Bellevue, Washington. All women working on machine learning are invited. Date: Tuesday, June 30, 2011, 12pm-1.40pm Venue: Maple Room,Hyatt Regency Bellevue, Bellevue Event details: http://www.icml-2011.org/forms/Brochure_Final4.pdf 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 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 Workshop @ NeurIPS 2022 New Orleans, Louisiana November 28, 2022 7:30 am - 6:00 pm 17th Women in Machine Learning Workshop (WiML 2022) The Workshop is co-located with NeurIPS on Monday, November 28th, 2022 at the New Orleans Convention Center in Louisiana, USA. Call for Participation 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 Workshop @ NeurIPS 2021 Virtual December 9, 2021 2:00 am - 11:00 pm UTC The 16th annual Women in Machine Learning workshop will be virtually co-located with NeurIPS 2021 in December 2021. See the workshop website for details! The organizers are: Boyi Li, Mariya Vasileva, Linh Tran, Akiko Eriguchi, Meera Desai, Aga Lee, Jieyu Zhao, Salomey Osei, Sirisha Rambhatla, Geeticka Chauhan, Nwamaka Okafor. Previous Next

All events WiML @ LIDA Data Science Careers Fair 2025 University of Leeds March 17, 2025 On 17 March 2025, WiML had the pleasure of being part of the LIDA Data Science Careers Fair 2025 at the University of Leeds. The fair brought together students, alumni, and industry representatives from across sectors including food, retail, finance, civil service, consultancy, data, and technology, all eager to explore career opportunities in data science and tech. Representing WiML, Luisa Cutillo engaged with attendees to share our mission, discuss pathways for women and underrepresented genders in machine learning, and highlight the importance of community and support for early-career data professionals.) WiML is proud to stand alongside a diverse group of institutions and companies (e.g., Google, KPMG, NHS England, Morrisons, The Data City, Answer Digital, and others) in supporting and inspiring the next generation of data scientists. A big thanks to the University of Leeds and the Leeds Institute for Data Analytics (LIDA) for organizing this successful event and for inviting WiML to contribute! More info here: https://www.leeds.ac.uk/events-staff/events/event/490/lida-data-science-careers-fair-2025 Previous Next

All events WiML Social @ ICLR 2024 Vienna, Austria May 8, 2024 12:45PM Date: May 08th, 2024 (Wed.) Time: 12:45 PM- 2:15 PM Place: Hall B, Messe Wien Exhibition Congress Center@Vienna, Austria The topic of the panel will be AI Unplugged: Navigating Everyday Life & Professional Paths. During the panel, we aim to facilitate discussions on various topics, such as mentorship advice and how AI t echnologies are impacting personal and professional domains. Program: 12:45 – 12:50 PM Opening Remarks - Tatjana Chavdarova (WiML board) 12:50 – 1:25 PM Networking & Lunch 12:50 – 1:00 PM Icebreaker games 1:00 – 1:25 PM Networking themed roundtables 1:25 – 2:15 PM Panel discussion: “AI Unplugged: Navigating Everyday Life & Professional Paths” PANELISTS Bahare Fatemi Bahare Fatemi is a Research Scientist at Google Research in Montreal, specializing in graph representation learning and natural language processing. She received her Ph.D. From the University of British Columbia. Her work has been featured in top AI conferences and journals including NeurIPS, ICLR, AAAI, and JMLR. She co-organized the Mining and Learning with Graphs workshop at KDD, Women in Machine Learning (WiML) workshop, and the Montreal AI Symposium. Devi Parikh Devi Parikh, an Associate Professor at Georgia Tech's School of Interactive Computing, previously served as Senior Director of Generative AI at Meta until March 2024. Her diverse career includes roles as Director at Meta's FAIR lab, Assistant Professor at Virginia Tech, and Research Assistant Professor at TTIC. She has held visiting positions at esteemed institutions such as Cornell, UT Austin, Microsoft Research, MIT, Carnegie Mellon, and Facebook AI Research. Her research focuses on generative AI, AI for creativity, multimodal AI, and human-AI collaboration. She boasts numerous awards, including NSF CAREER, Sloan Research Fellowship, and IJCAI Computers and Thought award, among others. Priya Donti Priya Donti is an Assistant Professor and the Silverman (1968) Family Career Development Professor at MIT EECS and LIDS. Her research focuses on machine learning for forecasting, optimization, and control in high-renewables power grids. Priya is also the co-founder and Chair of Climate Change AI, a global nonprofit initiative to catalyze impactful work at the intersection of climate change and machine learning. Priya received her Ph.D. in Computer Science and Public Policy from Carnegie Mellon University. She hold several awards and fellowships including the MIT Technology Review’s 2021 “35 Innovators Under 35” award and the ACM SIGEnergy Doctoral Dissertation Award. MODERATOR Aya Abdelsalam Ismail Aya Abdelsalam Ismail is a research scientist at Prescient Design in the frontier group. Prior to Prescient, she received her Ph.D. from the University of Maryland where she was advised by Soheil Feizi and Héctor Corrada Bravo. During her Ph.D. her research focused on the interpretability of neural models for sequential data. WiML SOCIAL ORGANIZERS Yutong Zhou Yutong Zhou is a Postdoc Researcher at the Leibniz Centre for Agricultural Landscape Research (ZALF), Germany. Her research interests focus on computer vision and deep learning, particularly in Generative Models, Multi-modal Vision and Language. She is concentrating on Artificial Intelligence × Biodiversity × Smart agriculture, surrounding the goals of ‘Global Sustainability for Better AI’ and ‘AI for Best Global Sustainability’. Lisa Weijler Lisa Weijler is a PreDoc researcher at the Computer Vision Lab (CVL), TU Wien, Austria. Her research interests are computer vision and machine learning for 3D and unstructured data, especially point clouds. Additionally, she is passionate about combining her research with medical, social or political science in interdisciplinary projects. She has applied her research for cancer cell detection in pediatric leukemia patients as well as for methodological advancements like SE(3) equivariant convolutions or OOD 3D scene understanding. Her main research focus currently is open vocabulary 3D scene understanding. WiML BOARD ORGANIZERS Hewitt Tusiime – WiML ICLR liaison Erin Grant – D&I chair Tatjana Chavdarova – VP Events WiML Thanks to our sponsors! Previous Next