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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

All events WiML Workshop 2008 Vancouver, Canada December 8, 2008 08:00 am — 05:00 pm The 3rd annual Women in Machine Learning workshop was colocated with NIPS 2008 in Vancouver, Canada in December 2008. The workshop website is no longer maintained. The organizers were: Luiza Antonie, Anna Koop, and Jo-Anne Ting, with faculty advisor Joelle Pineau. The invited speakers were: Fei-Fei Li, Kristin Bennett, Daphne Koller, and Corinna Cortes. 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 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

All events WiML Mentorship Session @ KDD 2022 Washington DC August 15, 2022 3:30 pm - 5:00 pm The WiML Mentorship Session as part of the WOMEN IN KDD: TOWARDS GENDER EQUITY IN TECH WORKSHOP is happening on Monday, August 15th, 2022, in person as part of the SIGKDD 2022 conference in Washington, DC. The program will include a 90 minute mentorship roundtable session, taking place 3:30 to 5:00 pm EDT. For more information, please navigate to the session booklet here. Previous Next

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-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

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 @ 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 2nd WiML Mentoring Program for PhD Applications: Panel on Next Steps Virtual January 26, 2023 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: Isabel Valera (Saarland University), Maggie Makar (University of Michigan), Po-Ling Loh (University of Cambridge), Andrew Gordon Wilson (New York University) Moderator: Alessandra Tosi (Mind Foundry) 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 Workshop 2011 Granada, Spain December 12, 2011 08:00 am — 06:00 pm The 6th annual Women in Machine Learning workshop was colocated with NIPS 2011 in Granada, Spain in December 2011. The workshop website is no longer maintained. The organizers were: Nevena Lazic, Monica Babes-Vroman, Rongjing Xiang, with faculty advisor Hanna Wallach. 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 Partner Event: New England Women in AI Workshop with IBM Research Cambridge, Massachusetts September 19, 2019 02:45 pm — 06:00 pm WiML is excited to announce t he New England Women in AI Workshop 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. This year, the workshop will include talks, a panel, and a networking reception highlighting the work of women in AI. All are welcome to attend. When: Thursday, September 19th, 2019 Where: Samberg Conference Center , 7th Floor, MIT Building E52, Cambridge, MA Registration: The event is open and free but registration is required at https://www.eventbrite.com/e/ibm-wiml-partner-event-new-england-women-in-ai-workshop-2019-workshop-registration-70284381477 . Organized by IBM Research. Questions? Contact Kristen Severson at kristen.severson@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