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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 The workshop website is no longer maintained.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

All events WiML Dinner @ ICML 2019 Long Beach, California June 10, 2019 07:30 pm — 10:00 pm WiML is hosting a dinner at ICML 2019 in Long Beach, California 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. All genders are welcome to attend. The organizer is Sabina Tomkins. The invited speakers are Kamalika Chaudhuri and Barbara Engelhardt. Date: Monday, June 10, 2019, 7.30pm-10.00pm Venue: 108 Yoga Studio Event Space, 237 Long Beach Blvd, Long Beach. Food catered by Ahimsa Vegan Cafe Registration: To accommodate increased demand, we are piloting a new registration process. There are two things you need to do to register for this event: 1. If you already have an access code, go directly to Step 2. Otherwise, fill in this Google Form ( https://forms.gle/VP2DJr9YwuvfQp5p6 ) to obtain an access code. 2. Go to this Eventbrite page starting May 26th 1pm Eastern Time to use your access code to register. If the event is sold-out, check Eventbrite again on June 7th 1pm Eastern Time, when more spots will open up. SPONSORS -Platinum- Previous Next

All events WiML Workshop 2009 Vancouver, Canada December 7, 2009 08:00 am — 06:00 pm The 4th annual Women in Machine Learning workshop was colocated with NIPS 2009 in Vancouver, Canada in December 2009. The workshop website is no longer maintained. The organizers were: Finale Doshi, Inmar Givoni, and Farheen Omar, with faculty advisor Daphne Koller. The invited speakers were: Kristen Grauman, Dana Pe’er, Odelia Schwartz, and Michèle Sebag, 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 @ Tübingen Women in ML-- Academia and Industry careers Max Planck Institute for Intelligent Systems-- Tübingen, Germany and Virtual October 11, 2024 It will be over the full day, very similar to a WiML workshop: 4-5 talks, a networking game, a poster session and a panel on academia and industry careers. Registration is open to all. The main idea is to bring local women together, including master and bachelor students. We designed the program to favor inclusion and give mentoring support to junior women in ML and adjacent fields. Additional information can be found here and by email at claire.vernade@uni-tuebingen.de . Previous Next

All events WiML Virtual Un-Workshop @ ICML 2021 Virtual July 21, 2021 8:00 am- 6:00 pm The 2nd Women in Machine Learning virtual Un-Workshop is co-located with virtual ICML on Monday, July 21th, 2021. See the un-workshop website for details. The organizers are Olivia Choudhury, Vaidheeswaran Archana, Hadia Mohmmed Osman Ahmed Samil, Berivan Isik, Liyue Shen, Arushi Majha, Beliz Gokkaya and Wenshuo Guo. Previous Next