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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 WiML Workshop 2012 Lake Tahoe, Nevada December 3, 2012 08:00 am — 06:00 pm The 7th annual Women in Machine Learning workshop was colocated with NIPS 2012 in Lake Tahoe, Nevada in December 2012. The workshop website is no longer maintained. The organizers were: Tamara Broderick, Minmin Chen, Pallika Kanani, and Tejaswini Narayanan, with faculty advisor Raquel Urtasun. 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 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 @ EurIPS 2025 Treehouse, Bella Center, Copenhagen December 3, 2025 10:00-14:30 We are happy to invite you to the Women in Machine Learning (WiML) social co-located with EurIPS 2025 at The Tree House, Bella Center, Copenhagen. Registration WiML Social @ EurIPS — Wednesday, December 3, 2025 Register here → https://luma.com/rs5val4p Be aware that, to attend the event, you must be registered to the EurIPS conference: https://eurips.cc/ The WiML @ EurIPS 2025 social will be held in person with invited speakers, oral presentations, and posters. The event brings together members of the academic and industry research landscape for an opportunity to connect and exchange ideas, and learn from each other. Underrepresented minorities and undergraduates interested in pursuing machine learning research are encouraged to participate. All genders are invited to attend. Program 10:00 - 10:10: Opening remarks 10:10 - 10:40: Invited talk - Lina Jaurigue: “Reservoir Computing for On-Device ML for Hearing Aid Improvement” 10:40 - 11:00: Best Posters Short Talks (10min each) 11:00 - 11:30: Panel: “Navigating uncertainty and long-term career sustainability in Europe’s evolving ML landscape” - Panelists: Isabel Valera, Lina Jaurigue, Vinti Agarwal 11:30 - 12:30: Networking/mentoring activities 12:30 - 13:30: Lunch +Closing Remarks 13:30 - 14:30: Poster session We’re delighted to host Google’s sponsor booth from 11:30 to 13:30! Organizing Committee WiML Social Organizers Ana Lucic ( Website : https://a-lucic.github.io/ ) I am an assistant professor in AI at the University of Amsterdam, with a joint position between the Institute for Logic, Language, and Computation, and the Informatics Institute. My work focuses on interpretable machine learning for the natural sciences. Previously, I was a researcher at Microsoft Research AI for Science, where I was one of the core scientists behind the Aurora foundation model. I was also a research fellow at the Partnership on AI. I have a PhD in explainable ML from the University of Amsterdam, supervised by Maarten de Rijke and Hinda Haned. My MSc and BSc are both in mathematics from McMaster University. Stella Grasshof ( Website : https://stellagrasshof.com/ ) I am an Assistant Professor in the Data Science section at the IT University of Copenhagen and at the Pioneer Centre for Artificial Intelligence. I hold an M.Sc . in Computational Life Science from Universität zu Lübeck and a Dr.-Ing. (PhD) from the Leibniz Universität Hannover (Germany). My research lies at the intersection of human-centred machine learning and visual computing, with a focus on generative AI for images and video, human faces and motion, computer vision, and applications in mental health. Additionally, I am part of the Lundbeck Foundation Investigator Network (LFIN), where I serve as a board member. WiML Board Liaisons – WiML EurIPS liaison Giulia Clerici ( Website: https://clericigiulia.com/ ) -WiML Vice President of Events Tatjana Chavdarova ( Website: https://chavdarova.github.io/ ) -WiML Vice President of Programs Alessandra Tosi - (Website: https://www.linkedin.com/in/alessandra-tosi-824a78a3/ ) Thanks to our Sponsors! Platinum Gold Silver Bronze Previous Next

All events WiML Social @ ICLR 2023 Kigali, Rwanda May 3, 2023 3:00 pm - 5:00 pm Date: May 3, 2023 Time: 3:00-5:00pm Loc: Larder Terrace (in the Hotel of the conference center) The topic of the panel will be AI moving forward, leaving no one behind . We hope to get a conversation going regarding ChatGPT, international collaborations, copyright issues of foundational models etc. The program is: 3:00 pm - 3.45 pm Introduction and networking 3.45 pm - 4.30 pm panel discussion on “AI moving forward, leaving no one behind” 4.30 pm – 5:00 pm Networking roundtables Panelist Bios Panelist: Tegan Maharaj Tegan is an Assistant Professor in the Faculty of Information at the University of Toronto, an affiliate of the Vector Institute and Schwartz-Reisman Institute for Technology and Society, and a visiting researcher at the Centre for the Study of Existential Risk at Cambridge University. She is also a managing editor at the Journal of Machine Learning Research (JMLR), the top scholarly journal in machine learning, and co-founding member of Climate Change AI (CCAI), an organization which catalyzes impactful work applying machine learning to problems of climate change. Prior to joining the iSchool, Tegan did her Ph.D. at Mila and Polytechnique Montreal, where she was an NSERC and IVADO-awarded scholar with Chris Pal. Her recent research has two themes (1) Real-world generalization, learning theory, and practical auditing tools (e.g. unit tests, sandboxes) to empirically evaluate learning behavior or simulate deployment of an AI system (2) Deep representation learning & predictive methods in ecological dynamical systems for impact assessment, policy analysis, and risk mitigation, especially for climate and common-good problems. Panelist: Kathleen Siminyu Kathleen Siminyu is an AI Researcher focused on Natural Language Processing(NLP) for African Languages. She works at Mozilla Foundation as a Machine Learning Fellow to support the development of a Kiswahili Speech Recognition dataset and to build transcription models for end use cases in the agricultural and financial domains. In this role, she is keen to ensure the diversity of Kiswahili speakers, in terms of age, gender, accent and language variant/dialect, is catered for in the dataset and models created. She would welcome opportunities exploring the application of speech technologies in education. Kathleen is also currently part of a committee constituted by the African Union to develop an Artificial Intelligence continental strategy for Africa. Before joining Mozilla, Kathleen was Regional Coordinator of AI4D Africa , where she worked with ML and AI communities in Africa to run research programs. One of these, a fellowship for African language dataset creation, led to the creation of over 9 African language datasets. For this work, Kathleen was listed as one of the MIT Technology Review 35 Innovators under 35 for 2022 . She has vast experience as a community organiser having co-organised the Nairobi Women in Machine Learning and Data Science community for three years and she continues to organise as part of the committees of the Deep Learning Indaba and the Masakhane Research Foundation . Supervolunteer: Hewitt Tusiime Hewitt Tusiime is a research assistant at the Makerere Artificial Intelligence Research lab at Makerere University with a particular interest in data science for finance and AI governance and ethics. She graduated from Makerere University with a Bachelor of Science in Software Engineering. She has worked on several research projects related to the application of machine learning algorithms in agriculture, natural language processing, and finance. She also has extensive experience designing and developing protocols for system deployment, ensuring effectiveness, and a smooth user adoption process. She is passionate about the ethical and social implications of AI on different groups of people. She also oversees community engagement while working to achieve research project objectives and strengthen bonds of trust between communities and the project teams. Organiser: Caroline Weis Dr. Caroline Weis is currently an AI/ML Engineer at GSK.ai , working on clinical machine learning applications. Centered around multi-omics and multimodal clinical data, her projects leverage approaches from biomarker discovery, model interpretability and personalised healthcare. Caroline joined GSK.ai after obtaining a PhD in Machine Learning for Healthcare from ETH Zurich, where she developed early clinical machine learning applications for antimicrobial resistance prediction, through developing new kernel methods, adversarial domain adaptation and representation learning. Her research was elected for the Remarkable Outputs award of 2021 by the Swiss Institute of Bioinformatics. Prior to that, she has built an academic background bridging microbiology, biomathematics, and biophysics. She worked on protein X-ray scattering at Lawrence Berkeley National Laboratory and gained experience developing machine learning applications for screening images at Genedata in Basel. She holds an MSc in Biotechnology and a BSc in Integrated Life Sciences. 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

< Back Jenn Wortman Vaughan, PhD WiML Co-Founder, Director (2009-2012, 2014-2018)

WiML is dedicated to providing an experience for all participants that is free from harassment, bullying, discrimination, and retaliation. WiML Code of Conduct The open exchange of ideas, the freedom of thought and expression, and respectful scientific debate are central to the goals of Women in Machine Learning, Inc. (“WiML”) activities; this requires a community and an environment that recognizes and respects the inherent worth of every person. The purpose of this Code of Conduct (CoC) is to outline expected standards of behaviour during WiML activities. Scope This CoC applies to all WiML activities, including but not limited to: Events organized, hosted, co-branded, or in cooperation with WiML Submissions and reviewing processes run by WiML. Communications sent through communication channels associated with WiML, including but not limited to social media. Meetings and discussions associated with WiML activities. If an activity is in cooperation with another organization, if the other organization has its own CoC, the union of both CoCs apply. Responsibility All attendees, speakers, mentors, panelists, area chairs, reviewers, sponsors, contractors, organizers, volunteers, members of the WiML Board of Directors and Senior Advisory Council (referred to as “Participants” collectively throughout this document) involved in WiML activities as described above are required to comply with this CoC. Reviews should actively avoid subtle discrimination, however inadvertent. In particular, reviewers should avoid comments in reviews about English style or grammar that may be interpreted as implying that the author is “foreign” or “non-native”. Sponsors are equally subject to this CoC. In particular, sponsors should not use images, activities, or other materials that reinforce gender stereotypes or are of a sexual, racial, or otherwise offensive nature at WiML events. Booth staff, including but not limited to volunteers, should not create a sexualized environment. Unacceptable Behavior WiML is dedicated to providing an experience for all participants that is free from harassment, bullying, discrimination, and retaliation. This includes offensive comments related to gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion (or lack thereof), politics, technology choices, or any other personal characteristics or considerations made unlawful by federal, state, or local laws, ordinances, or regulations. Inappropriate or unprofessional behavior that interferes with another participant’s full participation will not be tolerated. This includes bullying, intimidation, personal attacks, harassment, sustained disruption of talks or other events, sexual harassment, stalking, following, harassing photography or recording, inappropriate physical contact, unwelcome sexual attention, public vulgar exchanges, derogatory name-calling, or diminutive characterizations, all of which are unwelcome in this community. Advocating for, or encouraging, any of the above behaviour, is also considered harassment. No use of images, activities, or other materials that are of a sexual, racial, or otherwise offensive nature that may create an inappropriate or toxic environment is permitted. Disorderly, boisterous, or disruptive conduct including but not limited to fighting, coercion, theft, damage to property, or any mistreatment or non-businesslike behavior towards other participants is not tolerated. Scientific misconduct—including but not limited to fabrication, falsification, or plagiarism of paper submissions or research presentations—is prohibited. Reporting If you have concerns related to your participation or interaction at a WiML activity, observe someone else’s difficulties, or have any other concerns you wish to share, you can make a report: Anytime: By email at codeofconduct@wimlworkshop.org ‬ During an event: In-person to organizers, volunteers, or any member of the WiML Board of Directors. They will then direct you to the designated responder(s) for that event. Organizers and volunteers can be identified by special badges marked as “ORGANIZER” or “VOLUNTEER”. Members of the WiML Board of Directors can be identified by special badges marked as “WiML Board”. There is no deadline by which to make a report. If the person receiving your report is not the designated responder for that event, they will direct you to a designated responder and/or provide you immediate medical or security help and assist you to feel safe for the duration of the activity. Designated responders will follow WiML procedures to respond to and investigate your report. Enforcement Any participant asked by any member of the community to stop any unacceptable behavior is expected to comply immediately. A response of “just joking” will not be accepted; behavior can be harassing without an intent to offend. If a participant engages in behaviour that violates this CoC, WiML retains the right to take any action deemed appropriate, including but not limited to: Formal or informal warnings Barring or limiting continued attendance and participation, including but not limited to expulsion from the event Barring from participating in or deriving benefits from future WiML activities Exclusion from WiML opportunities, e.g. leadership, organizing, volunteering, speaking, reviewing, sponsoring, etc. Reporting the incident to the offender’s local institution or funding agencies Reporting the incident to local law enforcement The same actions may be taken toward any individual who engages in retaliation or who knowingly makes a false allegation of harassment. If action is taken, an appeals process will be made available. Investigation Reports of violations will be handled at the discretion of the WiML Board of Directors, who will investigate reports and bring the issue to resolution. Reports made during the activity will be responded to within 24 hours; reports made at other times will be responded to in less than five weeks. All reports will be handled as confidentially as possible and information will be disclosed only as it is necessary to complete the investigation and bring to resolution. There may be situations (such as those involving Title IX issues in the United States and venue- or employer-specific policies) where the member of the WiML Board of Directors informed of the violation will be under an obligation to file a report with another individual or organization outside of WiML. Ongoing Review The WiML Board of Directors welcomes feedback from the community on this CoC policy and procedures; please contact us by email at info@wimlworkshop.org . Acknowledgements This CoC policy was written by adapting the wording and structure from other CoC policies and procedures by Geek Feminism Wiki (created by the Ada Initiative), NeurIPS , ACM , Montreal AI Symposium , and Deep Learning Indaba .

< Back WiML Breakfast @ ICML 2013 Atlanta, Georgia WiML is hosting a breakfast at ICML 2013 in Atlanta, Georgia. Previous Next

< Back Ioana Bica, PhD WiML Secretary (2023-2025), Director (2021-2023) Visit my Profile

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

< Back 2nd WiML Mentoring Program for PhD Applications: Panel on Next Steps Virtual 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. Previous Next