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All events WiML Workshop @ NeurIPS 2023 New Orleans, Louisiana December 11, 2023 8:00 am - 4:30 pm 18th Women in Machine Learning Workshop (WiML 2023) — the workshop is co-located with NeurIPS on Monday, December 11th, 2023. For more information or to register, please visit the event’s website here. 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 The workshop website is no longer maintained.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

Past Board of Directors: WiML would like to acknowledge the efforts of previous board members whose efforts made WiML into what it is today. Past Board of Directors WiML would like to acknowledge the efforts of previous board members whose efforts made WiML into what it is today. If you see any errors or omissions on this page please contact us at info@wimlworkshop.org . Jenn Wortman Vaughan, PhD WiML Co-Founder, Director (2009-2012, 2014-2018) Read More Finale Doshi-Velez, PhD WiML President (2013-2015), Director (2009-2012, 2016-2018) Read More Ioana Bica, PhD WiML Secretary (2023-2025), Director (2021-2023) Read More Inmar Givoni, PhD WiML Secretary (2009-2012) Read More Sarah Brown, PhD WiML Treasurer (2016-2019) Read More Jenny Sy WiML Treasurer (2019-2022) Read More Been Kim, PhD WiML Vice President of Research & Policy (2019-2020), Director (2016-2018) Read More Audrey Durand, PhD WiML Vice President of Events (2021-2022) Read More Emma Brunskill, PhD WiML Director (2011-2016) Read More Raia Hadsell, PhD WiML Director (2017-2021) Read More Nevena Lazic, PhD WiML Director (2009-2012) Read More Feryal Behbahani, PhD WiML Director (2019-2022) Read More Ehi Nosakhare, PhD WiML Director (2021-2024) Read More Marzyeh Ghassemi, PhD WiML Director (2016-2018) Read More Kate Niehaus, PhD WiML Director (2018-2020) Read More Savannah Thais, PhD WiML Director (2019-2021) Read More Ramya Ramakrishnan, PhD WiML Director (2020-2022) Read More Catherine Wah, PhD WiML Director (2022-2024) Read More Rachel Thomas, PhD WiML Director (2019-2020) Read More Linh Tran, PhD WiML Director (2022-2023) Read More Audrey Chang, PhD WiML Director (2022) Read More Hanna Wallach, PhD WiML Co-Founder, President (2009-2012), Director (2012-2016) Read More Katherine M. Kinnaird, PhD WiML President (2016-2019), Director (2014-2015) Read More Jessica Thompson, PhD WiML Secretary (2018-2020), Director (2016-2017) Read More Alicia Yi-Ting Tsai, PhD WiML Secretary (2020-2023) Read More Jo-Anne Ting, PhD WiML Treasurer (2009-2012) Read More Jennifer Healey, PhD WiML Vice President of Events (2017-2019, 2020-2021), Director (2019-2020) Read More Jessica Montgomery WiML Vice President of Research & Policy (2020-2021), Director (2019-2020, 2021-2022) Read More Tamara Broderick, PhD WiML Director (2013-2019) Read More Sinead Williamson, PhD WiML Director (2015-2018, 2020-2021) Read More Christina Papadimitriou WiML Director (2021-2025) Read More Barbara Engelhardt, PhD WiML Director (2013-2016) Read More Ilene Cartright WiML Director (2019-2022) Read More Sasha Luccioni, PhD WiML Director (2022-2025) Read More Pallika Kanani, PhD WiML Director (2013-2015) Read More Brandie Nonnecke, PhD WiML Director (2019-2021) Read More Amy Zhang, PhD WiML Director (2020-2022) Read More Sarah Poole, PhD WiML Director (2020-2022) Read More Kristy Choi, PhD WiML Director (2022-2024) Read More Sara Jennings WiML Director (2021-2022) Read More S. Aga Lee WiML Director (2022-2023) Read More Hewitt Tusiime WiML Director (2024) Read More Sarah Osentoski, PhD WiML President (2019-2022), Director (2009-2015) Read More Bethany Edmunds, PhD WiML President (2022-2023), Vice President of Programs (2021-2022), Director (2020-2021) Read More Allison Chaney, PhD WiML Secretary (2017-2018), Vice President of Research & Policy (2018-2019), Director (2016) Read More Po-Ling Loh, PhD WiML Treasurer (2023-2024), Director (2020-2023, 2024-2025) Read More Alice Zheng, PhD WiML Treasurer (2013-2015), Director (2012) Read More Jessica Schrouff, PhD WiML Vice President of Programs (2022-2023), Director (2020-2022, 2023-2024) Read More Nezihe Merve Gürel, PhD WiML Vice President of Events (2022-2023), Director (2021-2022) Read More Katherine Heller, PhD WiML Director (2012-2018) Read More Danielle Belgrave, PhD WiML Director (2019-2020, 2021-2024) Read More Elena Glassman, PhD WiML Director (2009-2012) Read More Diana Cai, PhD WiML Director (2019-2022) Read More Keren Gu WiML Director (2019-2022) Read More Svitlana Volkova, PhD WiML Director (2016-2018) Read More Claire Monteleoni, PhD WiML Director (2010-2012) Read More Meghana Bhimarao WiML Director (2019-2021) Read More Jane Wang, PhD WiML Director (2020-2022) Read More Sarah Aerni, PhD WiML Director (2021-2023) Read More Abigail Jacobs, PhD WiML Director (2018-2019) Read More Belén Saldías WiML Director (2022-2023) Read More Bahare Fatemi, PhD WiML Director (2023-2024) Read More

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 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 Luncheon @ COLT 2025 lyon, France February 7, 2025 WiML is endorsing a luncheon at COLT 2025 in Lyon France. The event is meant to be a social and networking event for women and/or non-binary researchers in learning theory, as well as allies. The luncheon organized by Claire Vernade includes a networking activity, and a short panel on “Learning Theory: Research Directions in the Age of Foundations Models”. Additional information/ registration: Here 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 Luncheon @ CoRL 2018 Zurich, Switzerland October 30, 2018 11:30 am — 01:00 pm WiML is hosting a luncheon at CoRL 2018 in Zurich, Switzerland. The organizer is Aude Billard. Date: Wednesday, October 30, 2018, 11.30am-1pm Venue: Zurich Registration: Register during CoRL registration ( https://sites.google.com/a/robot-learning.org/corl2017/home/corl2018 ) 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 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 WiML Virtual Social @ ICLR 2021 Virtual May 3, 2021 9:00 am - 11:00 am WiML is hosting a virtual social, involving a panel discussion and socializing, at ICLR 2021 on Monday, May 3, 9.00am – 11.00am Eastern Time . The panel will take place in Zoom. After the panel, we will adjourn to the Icebreaker/Gatheround platform for socializing. Event Format Agenda (all times approximate) 9:00 – 9:05am ET – Meet in Zoom. Welcome and introductions 9:05 – 9:50am ET – Panel on “Starting and Navigating Careers Through COVID-19″ 9:50 – 10:00am ET – Wrap-up and adjourn to Icebreaker/Gatheround platform 10:00 – 11:00am ET – Socializing in Icebreaker/Gatheround platform What is the panel on? The panel, moderated by Ehi Nosakhare (Data Science Manager, Microsoft) with panelists: Candace Ross (PhD student in Computer Science, MIT) Christina Papadimitriou (Machine Learning Engineer, JPMorgan Chase) Claire Vernade (Research Scientist, DeepMind) Po-Ling Loh (Lecturer in the Department of Pure Mathematics and Mathematical Statistics, University of Cambridge) Sinead Williamson (Assistant Professor of Statistics, University of Texas at Austin) is on the topic of “Starting and Navigating Careers Through COVID-19”. The panel features ML researchers at various career stages who will talk about their experience networking, job hunting, collaborating and/or starting a new position in a primarily online environment. Read more about the panelists below. Joining Information How to join: Everyone registered for ICLR is encouraged to attend! Event limited to 200 participants. You can find the Zoom link on the ICLR portal: https://iclr.cc/virtual/2021/social/4398 (ICLR registration required to access). The Icebreaker/Gatheround link will be shared in Zoom at the end of the panel. Icebreaker/Gatheround will ask you to give it permission to access your camera and microphone. Google Chrome browser recommended. Participant instructions: During the panel, you can type questions for the panelists, so bring any questions on starting and navigating careers through COVID-19! If you will participate in the post-panel social, we suggest preparing one or two lines to describe your work and research, as well as any other topics you may want to discuss. Additional opportunities: WiML is also offering two more opportunities at ICLR 2021 for women and/or non-binary individuals: Thanks to ICLR’s DEI action fund ( https://iclr.cc/public/DiversityInclusion ) as well as WiML sponsors, WiML is able to fund registrations for eligible individuals to attend ICLR. If you are a student, postdoc, or early-career, underrepresented individual in machine learning, apply here by April 26: https://forms.gle/B2eJ4xWuPBodVeyGA Regardless of whether you are attending ICLR or the WiML social, you can submit your resume to our WiML@ICLR 2021 resume book. The resume book will be shared with WiML sponsors. Submit here by May 1: https://forms.gle/ARs8BcnfgSyraPUDA Questions? Email workshop@wimlworkshop.org . By joining the event, you agree to abide by the WiML Code of Conduct . Panelists and Moderator bios Candace Ross, MIT Candace Ross is an EECS Phd Student in the InfoLab at MIT. She works on language grounding, particularly grounding in vision, and weakly supervised models for language acquisition. Outside of research, she plays lacrosse, participates in efforts for community diversity and inclusion, and enjoys traveling (which surprisingly can be done as a grad student)! Christina Papadimitriou, JP Morgan Christina Papadimitriou (she/her) is a Machine Learning Engineer on the Artificial Intelligence Acceleration team at JPMorgan Chase. Her team accelerates the adoption of AI into the firm’s products and services. Christina is the co-chair of PRIDE, JPMorgan’s LGBTQ+ Business Resource Group in the NY Metro area, and she is the firm’s representative for OPEN Finance. She is also in the NY Leadership Team for Out in Tech, and she serves on the Board of Directors for WiML. Christina holds a Masters in Data Science from UC Berkeley, a Masters in Operations Research from Columbia University, and a Bachelor of Engineering in Chemical Engineering from the University of South Carolina. Claire Vernade, DeepMind Claire Vernade is a Research Scientist at DeepMind in London UK. She received her PhD from Telecom ParisTech in October 2017, under the guidance of Prof. Olivier Cappé. From January 2018-October 2018, she worked part-time as an Applied Scientist at Amazon in Berlin, while doing a postdoc with Alexandra Carpentier at the University of Magdeburg in Germany. She is involved in WiML-T, which connects women in Learning Theory and organizes social and career events at conferences like COLT and ALT. Her research is on sequential decision making. It mostly spans bandit problems, but Claire’s interest also extends to Reinforcement Learning and Learning Theory. While keeping in mind concrete problems — often inspired by interactions with product teams — she focuses on theoretical approaches, aiming for provably optimal algorithms. 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. She currently serves on the Board of Directors for WiML. Professor Sinead Williamson, University of Texas at Austin Sinead Williamson is an assistant professor of Statistics at the University of Texas at Austin. She works on Bayesian methods for machine learning, with particular interests in Bayesian nonparametrics, scalable sampling methods, and modeling structured data with complex dependency structures. Sinead has recently worked as a research scientist at Amazon and CognitiveScale, and served on the Board of Directors for WiML. Ehi Nosakhare, Microsoft Ehi Nosakhare is a Senior Data and Applied Science Manager at the Microsoft AI development and Acceleration Program (MAIDAP). She leads a team that designs, develops, and implements ML solutions in application projects across Microsoft’s products and services. Prior to joining Microsoft, she earned her PhD in Electrical Engineering and Computer Science (EECS) at the Massachusetts Institute of Technology (MIT). Her thesis work focused on using Latent Variable Modeling to uncover behavioral influences on mental health and well-being. She is deeply passionate about using ML to solve real-world problems and studying the ethical implications of ML/AI. She currently serves on the Board of Directors for WiML. SPONSORS -Platinum- Previous Next

All events WiML Workshop @ NeurIPS San Diego 2025 San Diego, CA, USA. December 2, 2025 20th Women in Machine Learning Workshop (WiML 2025) — the workshop is co-located with NeurIPS on Tuesday, December 2, 2025. For more information, please visit the event’s website here. Registration WiML Workshop @ NeurIPS — Tuesday, December 2, 2025 Register here→ https://luma.com/rl9urp5b WiML Reception–20th Anniversary Celebration — Wednesday, December 3, 2025 Register here → https://luma.com/zqblpt09 Previous Next

All events Black in AI-WiML Event: Speed Networking Sessions @ NeurIPS 2020 Virtual December 11, 2020 8:00 am - 9:00 am WiML is excited to announce the Black in AI-WiML Speed Networking Sessions @ NeurIPS 2020. Participants will be randomly paired up with another participant for 5-minute speed networking. Over the 1 hour session, you will receive several random pairings. We suggest preparing one or two lines to describe your work and research, as well as any other topics you may want to discuss. When: Friday, December 11, 2020. There will be two 1-hour sessions: Speed Networking Session 1: 8 – 9am PT Speed Networking Session 2: 2 – 3pm PT How to join: These sessions take place on the Glimpse platform; each session has its own link. Find the links on Black in AI’s neurips.cc page: https://neurips.cc/virtual/2020/protected/affinity_workshop_19449.html (NeurIPS registration required to access). You can join anytime during a session. Please enter your real name when you first access the link. NeurIPS registered attendees are welcome to attend. Organized by Black in AI 2020 workshop organizers. Questions? Email blackinai2020@googlegroups.com . Black in AI is also organizing other social events before and after these sessions. See here for more info. Previous Next