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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

All events WiML Luncheon @ ICML 2017 Sydney, Australia August 8, 2017 12:00 pm — 02:00 pm WiML is hosting a luncheon at ICML 2017 in Sydney, Australia. The goal of this event is to bring together female faculty members, research scientists, data scientists, and graduate students to meet, find mentorship, and learn from each other. Date: Tuesday, August 8, 2017, 12pm-2pm Venue: Grand Ballroom at The Westin Sydney, Sydney Registration: https://www.eventbrite.com/e/wiml-icml-luncheon-2017-tickets-36123495347# If you see any errors or omissions or have any information to contribute to this page, please contact us at info@wimlworkshop.org SPONSORS -Gold- -Silver- Previous Next

All events WiML Reception @ CoRL 2017 Mountain View, California November 13, 2017 08:00 pm — 11:00 pm WiML is hosting a networking reception at the 2017 Conference on Robot Learning (CoRL). The organizers are Chelsea Finn and Coline Devin. Date: Monday, November 13, 2017, 8pm-11pm Venue: Steins Beer Garden, Mountain View Registration: Register during CoRL registration ( https://sites.google.com/a/robot-learning.org/corl2017/home/corl2017 ) 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 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

All events 2nd WiML Mentoring Program for PhD Applications: Panel on Essay Writing Virtual October 6, 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: Sinead Williamson (University of Texas Austin), Mihaela van der Schaar (University of Cambridge), Sanmi Koyejo (University of Illinois Urbana-Champaign; Stanford University), Awa Dieng (Mila) Moderator: Kristy Choi (Stanford University) Previous Next

All events WiML Social @ ICLR 2025 Singapore April 25, 2025 12:30 PM - 2:00 PM Date: April 25, 2025 Time: 12:30 - 2:00p, Location: At the front of Hall 1 Apex Grab lunch, meet fellow researchers, and hear perspectives on navigating academia vs. industry. 🍽️ Lunch provided! Topics: "Papers, patents, or products? Making the right career call across academia & industry" The panel explores key career decisions in today's ML landscape: choosing between research publications and product development, weighing academic freedom against industry resources. The program is: 12:30 pm - 12:35 pm Opening Remarks 12:35 pm - 1:20 pm Networking & Lunch 1:20 pm – 2:00 pm Panel Discussions Panelists Reyhane Askari Rayhane Askari is is a postdoctoral researcher at FAIR (Meta AI), working at the intersection of generative models, synthetic data, and responsible AI. Her research focuses on improving data efficiency through diffusion-based generation with applications in vision-language modeling. She holds a Ph.D. in Computer Science from the University of Montreal (Mila), where she explored theoretical and practical aspects of generative modeling. https://x.com/reyhaneaskari?lang=en Katherine Driscoll Katherine Driscoll serves as Head of AI at Graph Therapeutics, a Vienna-based techbio startup, where she works on optimizing experimental design for drug discovery through AI. Her research combines active learning approaches and foundation models with domain knowledge to enhance target discovery processes. Previously, she completed her Ph.D. in condensed matter physics, focusing on modeling strongly correlated quantum systems. In addition to her professional work, she volunteers with TechBio Transformers, supporting the development of a global community for those interested in the intersection of AI and biology. linkedin.com/in/katherine-driscoll-58482275/ Nouha Dziri Nouha Dziri is an AI research scientist at the Allen Institute for AI (Ai2). Her research investigates a wide variety of problems across NLP and AI including building state-of-the-art language models and understanding their limits and inner workings. She also works on AI safety to ensure the responsible deployment of LLMs while enhancing their reasoning capabilities. Prior to Ai2, she worked at Google DeepMind, Microsoft Research and Mila. She earned her PhD from the University of Alberta and the Alberta Machine Intelligence Institute. Her work has been published in top-tier AI venues including NeurIPS, ICML, ICLR, TACL, ACL, NAACL and EMNLP. She won the best paper award in NAACL 2025. https://x.com/nouhadziri?lang=en https://www.linkedin.com/in/nouha-dziri-3587427b/ Claire Vernade Claire Vernade is a Group Leader at the University of Tübingen, in the Cluster of Excellence Machine Learning for Science (*). She was awarded an Emmy Noether award under the AI Initiative call in 2022 for the project FoLiReL , and an ERC Starting Grant in 2024 for the project ConSequentIAL . Her research is on sequential decision making. It mostly spans bandit problems, and theoretical Reinforcement Learning, but her research interests extend to Learning Theory and principled learning algorithms. Her work " Eigengame: PCA as a Nash Equilibrium " was recognized by an Outstanding Paper Award at ICLR 2021 (with I.Gemp, B.McWilliams and T.Graepel). Her goal is to contribute to the understanding and development of interactive and adaptive learning systems. Between November 2018 and December 2022, she was a Research Scientist at DeepMind in London UK in the Foundations team lead by Prof. Csaba Szepesvari . She did a post-doc in 2018 with Prof. Alexandra Carpentier at the University of Magdeburg in Germany while working part-time as an Applied Scientist at Amazon in Berlin. She received her PhD from Telecom ParisTech in October 2017, under the guidance of Prof. Olivier Cappé. https://x.com/vernadec?lang=en https://www.linkedin.com/in/claire-vernade-82559949/ Erin Grant Erin Grant is a Senior Research Fellow at the Gatsby Computational Neuroscience Unit and the Sainsbury Wellcome Centre at University College London. Erin studies prior knowledge and learning mechanisms in minds, brains, and machines using a combination of behavioral experiments, computational simulations, and analytical techniques, with the goal of grounding higher-level cognitive phenomena in a neural implementation. Erin earned her Ph.D. from the University of California, Berkeley in 2022 with support from Canada’s Natural Sciences and Engineering Research Council . During her Ph.D., Erin spent time at OpenAI , Google Brain , and DeepMind . Erin currently serves on the Women in Machine Learning Board of Directors. https://x.com/ermgrant?lang=en https://www.linkedin.com/in/ermgrant/ WiML Social Organizers Vasiliki Tassopoulou Vasiliki Tassopoulou is a Ph.D. Candidate in Bioengineering at the University of Pennsylvania, conducting research within the Center for AI and Data Science for Integrated Diagnostics Her research focuses on generative modeling of longitudinal neuroimaging data, with applications in neurodegenerative diseases. In parallel with her Ph.D., she completed an M.Sc. in Statistics and Data Science at the Wharton School, concentrating on Bayesian statistics and statistical inference and conformal prediction. She also holds a M.Eng. in Electrical and Computer Engineering from the National Technical University of Athens. https://x.com/vtassop https://www.linkedin.com/in/vasilikitassopoulou/ Melis IIayda Bal Melis Ilayda Bal is a second-year PhD candidate at the Max Planck Institute for Intelligent Systems, in Tübingen, Germany, at the Learning and Dynamical Systems (LDS) research group and a doctoral fellow through the Amazon-MPI Science Hub. She hold an M.Sc . in Operations Research and a B.Sc . in Industrial Engineering, with a minor in Computer Engineering, from Middle East Technical University (METU). Her research focuses on optimization for machine learning, specifically aimed at developing techniques that enhance the robustness and training efficiency of machine learning models. https://x.com/melisilaydabal?lang=en https://www.linkedin.com/in/melis-ilayda-bal-436889123/ Thanks to our sponsors! Previous Next

All events 4th WiML Mentorship Program for PhD Applications: Panel on CV and Cover Letters Virtual October 8, 2024 8:00 am - 9:00 am This event, part of the WiML’s 2024-2025 Mentorship Program on the theme of PhD applications, takes place 8-9am PT in Zoom. Mentors and mentees of the 2024-2025 Mentorship Program are invited to attend. Panelists: Arpita Singhal (Stanford), Tijana Zrnic (Stanford), Duroux Diane Magali Anna (ELLIS) Moderator: Luisa Cutillo (University of Leeds) We will cover: Key tips and advice for the graduate programs application process Overview of research areas and opportunities in ML at the ELLIS program (Europe) and other US-based institutions Q&A session to answer participant questions Previous Next

All events 4th WiML Mentorship Program for Job Seekers: Panel on Applying to Jobs in Machine Learning Virtual November 18, 2024 9:00 am - 10:00 am This event, part of the WiML’s 2024-2025 Mentorship Program on the theme of Industry Jobs Applications, takes place 9-10am PT in Zoom. Mentors and mentees of the 2024-2025 Mentorship Program are invited to attend. Panelists: Dr. Kaoutar El Maghraoui (IBM Research), Jaya Shankar (Nvidia), Catherine Breslin (Kingfisher Labs) Moderator: Anoush Najarian (MathWorks) We will cover: Overview on career pathways in Machine Learning and AI Key tips and advice to apply to jobs in the industry sector, including improving your CV and writing a cover letter Building your skills and tips on the emerging trends in Machine Learning Building your personal network Q&A session to answer participant questions 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 2019 Vancouver, Canada December 9, 2019 08:00 am — 06:00 pm The 14th annual Women in Machine Learning workshop will be colocated with NeurIPS 2019 in Vancouver, Canada in December 2019. See the workshop website for details! The organizers are: Michela Paganini, Sarah Aerni, Forough Poursabzi Sangdeh, Nezihe Merve Gürel, and Bahare Fatemi. Previous Next