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All events WiML Luncheon @ KHIPU 2025 Universidad de Chile, Santiago, Chile and virtual March 14, 2025 We're building a vibrant community of AI leaders, researchers, and enthusiasts dedicated to: ● Advancing AI education through free, world-class training ● Connecting and empowering Latin American AI talent across borders ● Unleashing AI's potential to address challenges and create opportunities in the region We believe in inclusive participation. KHIPU 2025 offers free registration for all accepted participants and travel support for selected students. A networking lunch will be offered on Friday 14th March. The idea is to give advice on topics which are usually challenging, such as interviews or salary negotiation. Organizer: KHIPU Additional information can be found here or email at jdunstan@uc.cl . Previous Next

All events 4th WiML Mentorship Program for PhD Applications: Panel on Funding and Work-Life Balance Virtual October 23, 2024 9:00 am - 10:00 am This event, part of the WiML’s 2024-2025 Mentorship Program on the theme of PhD applications, takes place 9-10am PT in Zoom. Mentors and mentees of the 2024-2025 Mentorship Program are invited to attend. Panelists: Paul Pu Liang (MIT Media Lab), Serina Chang (UC Berkeley), Tim Dettmers (Allen Institute for Artificial Intelligence, Carnegie Mellon University) Moderator: Judy Shen (Stanford University) We will cover: How to find and reach out to professors you are interested in working with (PhD Admissions) Key tips and advice to apply to and access funding (scholarships, fellowship, salary etc) Overview on programs and resources (classes, health care, travel allowance etc) Q&A session to answer participant questions Previous Next

All events WiML Workshop 2017 Long Beach, California December 4, 2017 08:00 am — 05:30 pm The 12th annual Women in Machine Learning workshop will be colocated with NIPS 2017 in Long Beach, California in December 2017. See the workshop website for details! The organizers are: Genna Gliner, Ehi Nosakhare, Maja Rudolph, Danielle Belgrave, Negar Rostamzadeh. The invited speakers are: Tamara Broderick, Hanna Wallach, Joelle Pineau, and Nina Mishra, with Jenn Wortman Vaughan and Raia Hadsell giving the opening remarks. Recorded talks can be found at this link . 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 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 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-CWS Event: Community-Driven Mentoring Event and Panel @ AISTATS 2021 Virtual April 13, 2021 12:30 pm - 2:00 pm WiML is excited to announce a joint event with the Caucus for Women in Statistics at AISTATS 2021. The event has two components: community-driven mentoring , and a panel . The event will be held on the Icebreaker.video platform on Tuesday, April 13, 2021, 12.30pm – 2pm PT. Event Format Agenda (all times approximate) 12:30 – 12:45pm PT – 1:1 mentor-mentee random pairings 12:45 – 1:10pm PT – Small group mentoring on time management tips and conducting research 1:10 – 1:45pm PT – Panel on publishing and reviewing 1:45 – 2pm PT – Small group debrief on panel What is community-driven mentoring? It means anyone can be a mentor on a topic of their expertise! Upon entering the Icebreaker link, you will be asked to indicate if you want to be a mentor or mentee. The Icebreaker platform will distribute mentors among groups as much as possible. There will be a series of mentoring sessions, both 1:1s and in small groups. Read more about the mentoring prompts below. Who can mentor? Mentoring topics will range from general life-work balance to general research questions, thus we encourage a larger number of participants, ranging from mid-PhD to senior levels, to participate as mentors. Mentors can be of any gender. What is the panel on? The panel, moderated by Sinead Williamson (University of Texas at Austin) with panelists Bin Yu (UC Berkeley), Tomi Mori (St. Jude Children’s Research Hospital), Po-Ling Loh (University of Cambridge), Jessica Kohlschmidt (Ohio State University), is on the topic of “Reviewing and Publishing”. The rapid growth of the machine learning and statistics community has made the reviewing process of peer-reviewed conferences more challenging. Besides sharing their experiences, panelists will discuss publishing venues in ML and Statistics, as well as take questions from the audience. Read more about the panelists below. Joining Instructions How to join: You can find the Icebreaker link on the AISTATS portal: https://virtual.aistats.org/virtual/2021/affinityworkshop/2033 (AISTATS registration required to access). Event limited to 200 participants. You’ll be asked to sign in to Google, and give Icebreaker permission to access your camera and microphone. Google Chrome browser recommended. Participant instructions: Whether you will participate as a mentor or mentee, 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 panel, you can type questions for the panelists in Icebreaker chat, so bring any questions on reviewing and publishing! See below for more information on Icebreaker. Questions? Email workshop@wimlworkshop.org or cws@cwstat.org . Note that this is a separate event from the AISTATS mentoring sessions . By joining the event, you agree to abide by the AISTATS Code of Conduct and WiML Code of Conduct . Icebreaker how-to guide and mentoring prompts Upon joining the platform, you will be given an option to join as either a “Mentee” or a “Mentor”. Select your preferred option, enter your full name, and click on “join event”. For each mentoring session, you can choose if you want to participate or wait for the next one. Panelists and Moderator bios Professor Bin Yu, UC Berkeley Bin Yu is Chancellor’s Distinguished Professor and Class of 1936 Second Chair in the departments of statistics and EECS at UC Berkeley. She leads the Yu Group which consists of 15-20 students and postdocs from Statistics and EECS. She was formally trained as a statistician, but her research extends beyond the realm of statistics. Together with her group, her work has leveraged new computational developments to solve important scientific problems by combining novel statistical machine learning approaches with the domain expertise of her many collaborators in neuroscience, genomics, and precision medicine. She and her team develop relevant theory to understand random forests and deep learning for insight into and guidance for practice. She is a member of the U.S. National Academy of Sciences and of the American Academy of Arts and Sciences. She is Past President of the Institute of Mathematical Statistics (IMS), Guggenheim Fellow, Tukey Memorial Lecturer of the Bernoulli Society, Rietz Lecturer of IMS, and a COPSS E. L. Scott prize winner. She is serving on the editorial board of Proceedings of National Academy of Sciences (PNAS) and the scientific advisory committee of the UK Turing Institute for Data Science and AI. Professor Tomi Mori, St. Jude Children’s Research Hospital Tomi Mori is a Member and Endowed Chair of the Department of Biostatistics at St. Jude Children’s Research Hospital in Memphis TN. She is an elected Fellow of the American Statistical Association and is currently President of the Caucus for Women in Statistics. Her statistical research interests include: designs of early phase clinical trial designs for drug combinations and precision oncology strategies, biomarker discovery and validation, predictive modeling, and risk stratification. Professor Po-Ling Loh, University of Cambridge Po-Ling Loh received her Ph.D. in Statistics from UC Berkeley in 2014. From 2014-2016, she was an Assistant Professor of Statistics at the University of Pennsylvania. From 2016-2018, she was an Assistant Professor of Electrical & Computer Engineering at UW-Madison, and from 2019-2020, she was an Associate Professor of Statistics at UW-Madison and a Visiting Associate Professor of Statistics at Columbia University. She began a position as a Lecturer in the Department of Pure Mathematics and Mathematical Statistics at the University of Cambridge in January 2021. Po-Ling’s current research interests include high-dimensional statistics, robustness, and differential privacy. She is a recipient of an NSF CAREER Award, an ARO Young Investigator Award, the IMS Tweedie and Bernoulli Society New Researcher Awards, and a Hertz Fellowship. Dr. Jessica Kohlschmidt, Ohio State University Comprehensive Cancer Center Jessica Kohlschmidt is a Ph.D. Biostatistician at the Clara D. Bloomfield Center for Leukemia Outcomes Research at The Ohio State University Comprehensive Cancer Center. Her research group looks retrospectively at patient data to try to determine what gene mutations and expression (or combinations) predict which patients will have better survival. Jessica also teaches business analytics for the Fisher College of Business at The Ohio State University. She is a long time officer of the Caucus for Women in Statistics (CWS), serving for 10 years as Secretary and in 2018 became the first Executive Director and currently oversees the operations of CWS. Jessica is currently serving on the committee for the International Year of Women in Statistics and Data Science (IYWSDS) of ISI. She is also actively involved with the American Statistical Association (ASA) and is serving as Treasurer for the ASA Survey Research Methods Section, as well as President of the ASA Columbus Chapter and as Chair of the ASA History of Statistics Interest Group. Professor Sinead Williamson, University of Texas at Austin Sinead Williamson is an Assistant Professor of Statistics at the University of Texas at Austin, in the IROM Department and the Division of Statistics and Scientific Computation. She obtained her Ph.D. from the Computational and Biological Learning group at the University of Cambridge and spent two years as a postdoc in the SAILING laboratory at Carnegie Mellon University. Previous Next

All events 2nd WiML Mentoring Program for PhD Applications: Panel on Fellowship Applications Virtual September 22, 2022 9:00 m -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: Luisa Cutillo (Leeds), Ioana Bica (University of Oxford; Alan Turing Institute), Amy Zhang (University of Washington), Aleksandra Korolova (Princeton University), Eric Wallace (University of California Berkeley) Moderator: Alessandra Tosi (Mind Foundry) 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 Reception @ NeurIPS Mexico City 2025 Ciudad de México, México November 30, 2025 9 am to 12.30 pm LatinX in AI is proud to share its joint affinity group half-day workshop, with Women in Machine Learning and Queer in AI, happening at the official co-location of the NeurIPS 2025 conference in Mexico City. For more information, please visit the event’s website here. This event will take place on November 30th at the Hilton Mexico City Reforma from 9:00 AM to 12:30 PM. Registration WiML and LatinX in AI Reception — Sunday, November 30 Register here → https://luma.com/4g8258pe WiML and Queer in AI at LatinX in AI Workshop — Sunday, November 30 Register here→ https://www.latinxinai.org/registration Previous Next

All events WiML Luncheon @ CoRL 2019 Osaka, Japan November 1, 2019 12:00 pm — 01:30 pm WiML is hosting a luncheon at CoRL 2019 in Osaka, Japan 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. The invited speakers are Anca Dragan, Yukie Nagai, and Chelsea Finn. Date: Nov 1, 12-1:30pm Venue: Senri Hankyu Hotel Osaka Registration: https://www.eventbrite.com/e/wiml-at-corl-an-event-to-celebrate-the-women-in-the-corl-community-registration-77723345619 SPONSORS -Platinum- Previous Next

All events WiML Virtual Un-Workshop @ ICML 2020 Virtual July 13, 2020 8:00 pm - 6:00 pm The 1st Women in Machine Learning virtual Un-Workshop is co-located with virtual ICML on Monday, July 13th, 2020. See the un-workshop website for details. The organizers are Fariba Yousefi, Caroline Weis, Tatjana Chavdarova, Mandana Samiei, Larissa Schiavo. Previous Next