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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 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

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 Partner Event: New England Women in ML Event with IBM Research Cambridge, Massachusetts April 19, 2019 03:45 pm — 06:00 pm WiML is excited to announce an event 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. Join the event this Thurs 6/20. Speakers and activities include: – A talk by Tamara Broderick (Assistant Professor, MIT) on “Approximate Cross Validation for Large Data and High Dimensions”. – Reception immediately after the event. When: Thursday June 20, 2019, 4:00pm – 5:00pm with reception immediately after the event Where: IBM Research Cafe, 75 Binney St. Cambridge, MA Organized by IBM Research. Questions? Contact Preethi Raghavan at praghav@us.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 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

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 Social @ ICLR 2022 Virtual April 25, 2022 7:00 pm - 9:00 pm A one hour Virtual Panel session (45 min + 15 min Q&A from the audience) which will take place on April 25th, 19:00-20:00 GMT. The topic of the panel will be the interplay of academia and geographic location. During the Virtual Panel we hope to encourage discussions about geographically specific challenges experienced in academia. To apply for registration funding go to: https://forms.gle/A6zyMdXt21kHQZNSA Moderated by Dr. Caroline Weis Panelists Include: Akiko Eriguchi, Senior Researcher, Microsoft. Akiko is a Senior Researcher at Microsoft.　Her research interests lie in multilingual NLP and deep learning. With her position in the Microsoft Translator team, she has developed MT systems and multilingual NLP applications. Her work has been published in ACL, EMNLP, etc. She has served as a reviewer for ACL, EMNLP, NeurIPS, AAAI. She is also a 2021-2022 co-organizer of the Workshop on Asian Translation. Prior to joining Microsoft, she was a Research Fellow (DC1) at the Japan Society for the Promotion of Science. She obtained her doctoral degree from the University of Tokyo, Japan, where her PhD thesis received the sixth AAMT Nagao Student award from the Asia-Pacific Association for Machine Translation. Nora Hollenstein, Assistant Professor, University of Copenhagen. Nora is an assistant professor in NLP & Cognitive Science at the University of Copenhagen. Before joining the Center for Language Technology at the University of Copenhagen, Nora was a PhD candidate at DS3Lab at ETH Zurich working on cognitively inspired natural language processing. She was also a lecturer at the Institute of Computational Linguistics of the University of Zurich. The focus of her research lies in enhancing NLP applications with cognitive data such as eye-tracking and brain activity recordings. She is especially interested in multi-modal learning, learning from limited data, and the interpretability and cognitive plausibility of machine learning models. Jessica Schrouff, Senior Research Scientist, Google Research. Jessica is a Senior Research Scientist at Google Research working on machine learning for healthcare. Before joining Google in 2019, she was a Marie Curie post-doctoral fellow at University College London (UK) and Stanford University (USA), developing machine learning techniques for neuroscience discovery and clinical predictions. Throughout her career, Jessica’s interests have lied not only in the technical advancement of machine learning methods, but also in critical aspects of their deployment such as their credibility, fairness, robustness or interpretability. 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 2023 New Orleans, Louisiana December 11, 2023 8:00 am - 4:30 pm 18th Women in Machine Learning Workshop (WiML 2023) — the workshop is co-located with NeurIPS on Monday, December 11th, 2023. For more information or to register, please visit the event’s website here. Previous Next

All events WiML Workshop 2014 Montreal, Canada December 8, 2014 08:00 am — 06:00 pm The 9th annual Women in Machine Learning workshop was colocated with NIPS 2014 in Montreal, Canada in December 2014. The workshop website is no longer maintained. The organizers were: Allison Chaney, Marzyeh Ghassemi, Sarah Brown, and Jessica Thompson. The invited speakers were: Carla Brodley, Tina Eliassi-Rad, Diane Hu, and Claudia Perlich, with Finale Doshi-Velez giving the opening remarks. Previous Next

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 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