All events WiML Luncheon @ COLT 2022 London, UK July 3, 2022 12:00 pm - 1:00 am WiML is hosting a luncheon at COLT 2022 in London, UK. 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. There will also be a short AMA panel over coffee to exchange information about research and career questions with: Po-Ling Loh (Program Chair of COLT, Cambridge) Ciara Pike-Burke (Local Chair, Imperial College) Claire Vernade (organizer of this luncheon, Deepmind) Date: Sunday, July 3rd Location: London, UK Venue: The Royal Institution (conference venue). Lunch will be served in the “library”, which is the usual coffee break room. Registration: Please register by responding “Yes” to the question about the WiML-T luncheon when you register to the main conference ( https://www.eventbrite.com/e/colt-2022-35th-annual-conference-on-learning-theory-tickets-324119880287 ) Previous Next

All events WiML @ LIDA Data Science Careers Fair 2025 University of Leeds March 17, 2025 On 17 March 2025, WiML had the pleasure of being part of the LIDA Data Science Careers Fair 2025 at the University of Leeds. The fair brought together students, alumni, and industry representatives from across sectors including food, retail, finance, civil service, consultancy, data, and technology, all eager to explore career opportunities in data science and tech. Representing WiML, Luisa Cutillo engaged with attendees to share our mission, discuss pathways for women and underrepresented genders in machine learning, and highlight the importance of community and support for early-career data professionals.) WiML is proud to stand alongside a diverse group of institutions and companies (e.g., Google, KPMG, NHS England, Morrisons, The Data City, Answer Digital, and others) in supporting and inspiring the next generation of data scientists. A big thanks to the University of Leeds and the Leeds Institute for Data Analytics (LIDA) for organizing this successful event and for inviting WiML to contribute! More info here: https://www.leeds.ac.uk/events-staff/events/event/490/lida-data-science-careers-fair-2025 Previous Next

All events WiML Breakfast @ AAAI 2016 Phoenix, Arizona February 15, 2016 07:45 am — 08:45 am WiML is co-hosting a breakfast at AAAI 2016 in Phoenix, Arizona, “Breakfast with Champions: A Women’s Mentoring Event”. In this event, women students will get the opportunity to meet senior women in computer science and/or artificial intelligence. The organizers are: Amy McGovern, Kiri Wagstaff, Sarah Brown, and Marzyeh Ghassemi. The event is also sponsored by AI Journal. Date: Wednesday, 15 February 2016, 07:45-08:45 Venue: Remington, 2nd Floor, Hyatt Regency Phoenix Hotel Event details: http://www.aaai.org/Conferences/AAAI/2016/aaai16student.php Registration: Register during AAAI registration ( http://www.aaai.org/Conferences/AAAI/aaai16.php ) 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 @ ICLR 2024 Vienna, Austria May 8, 2024 12:45PM Date: May 08th, 2024 (Wed.) Time: 12:45 PM- 2:15 PM Place: Hall B, Messe Wien Exhibition Congress Center@Vienna, Austria The topic of the panel will be AI Unplugged: Navigating Everyday Life & Professional Paths. During the panel, we aim to facilitate discussions on various topics, such as mentorship advice and how AI t echnologies are impacting personal and professional domains. Program: 12:45 – 12:50 PM Opening Remarks - Tatjana Chavdarova (WiML board) 12:50 – 1:25 PM Networking & Lunch 12:50 – 1:00 PM Icebreaker games 1:00 – 1:25 PM Networking themed roundtables 1:25 – 2:15 PM Panel discussion: “AI Unplugged: Navigating Everyday Life & Professional Paths” PANELISTS Bahare Fatemi Bahare Fatemi is a Research Scientist at Google Research in Montreal, specializing in graph representation learning and natural language processing. She received her Ph.D. From the University of British Columbia. Her work has been featured in top AI conferences and journals including NeurIPS, ICLR, AAAI, and JMLR. She co-organized the Mining and Learning with Graphs workshop at KDD, Women in Machine Learning (WiML) workshop, and the Montreal AI Symposium. Devi Parikh Devi Parikh, an Associate Professor at Georgia Tech's School of Interactive Computing, previously served as Senior Director of Generative AI at Meta until March 2024. Her diverse career includes roles as Director at Meta's FAIR lab, Assistant Professor at Virginia Tech, and Research Assistant Professor at TTIC. She has held visiting positions at esteemed institutions such as Cornell, UT Austin, Microsoft Research, MIT, Carnegie Mellon, and Facebook AI Research. Her research focuses on generative AI, AI for creativity, multimodal AI, and human-AI collaboration. She boasts numerous awards, including NSF CAREER, Sloan Research Fellowship, and IJCAI Computers and Thought award, among others. Priya Donti Priya Donti is an Assistant Professor and the Silverman (1968) Family Career Development Professor at MIT EECS and LIDS. Her research focuses on machine learning for forecasting, optimization, and control in high-renewables power grids. Priya is also the co-founder and Chair of Climate Change AI, a global nonprofit initiative to catalyze impactful work at the intersection of climate change and machine learning. Priya received her Ph.D. in Computer Science and Public Policy from Carnegie Mellon University. She hold several awards and fellowships including the MIT Technology Review’s 2021 “35 Innovators Under 35” award and the ACM SIGEnergy Doctoral Dissertation Award. MODERATOR Aya Abdelsalam Ismail Aya Abdelsalam Ismail is a research scientist at Prescient Design in the frontier group. Prior to Prescient, she received her Ph.D. from the University of Maryland where she was advised by Soheil Feizi and Héctor Corrada Bravo. During her Ph.D. her research focused on the interpretability of neural models for sequential data. WiML SOCIAL ORGANIZERS Yutong Zhou Yutong Zhou is a Postdoc Researcher at the Leibniz Centre for Agricultural Landscape Research (ZALF), Germany. Her research interests focus on computer vision and deep learning, particularly in Generative Models, Multi-modal Vision and Language. She is concentrating on Artificial Intelligence × Biodiversity × Smart agriculture, surrounding the goals of ‘Global Sustainability for Better AI’ and ‘AI for Best Global Sustainability’. Lisa Weijler Lisa Weijler is a PreDoc researcher at the Computer Vision Lab (CVL), TU Wien, Austria. Her research interests are computer vision and machine learning for 3D and unstructured data, especially point clouds. Additionally, she is passionate about combining her research with medical, social or political science in interdisciplinary projects. She has applied her research for cancer cell detection in pediatric leukemia patients as well as for methodological advancements like SE(3) equivariant convolutions or OOD 3D scene understanding. Her main research focus currently is open vocabulary 3D scene understanding. WiML BOARD ORGANIZERS Hewitt Tusiime – WiML ICLR liaison Erin Grant – D&I chair Tatjana Chavdarova – VP Events WiML Thanks to our sponsors! 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 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 Akiko I. Eriguchi, PhD WiML Treasurer Emeritus (2026-2027), Treasurer (2022-2026) 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 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 Caroline Weis, PhD WiML Director (2022-2026) Read More Diane Oyen, PhD WiML Director (2025-2026) Read More Hanna Wallach, PhD WiML Co-Founder, President (2009-2012), Director (2012-2016) 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 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 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 Archana Vaidheeswaran WiML Director (2023-2026) Read More Tiffany Vlaar, PhD WiML Director (2025-2026) Read More Sarah Tan, PhD WiML President (2023-2026), Vice President of Events (2019-2020), Director (2018-2019, 2020-2023) 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 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 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 Gloria Namanya WiML Director (2023-2026) Read More

All events WiML Un-Workshop at ICML 2022 Hybrid-In person Baltimore Convention Center Baltimore MD USA and Virtual July 17, 2022 8:45 am - 10:30 pm Hybrid-In person Baltimore Convention Center Baltimore MD USA and Virtual For more information or to register, please go to: https://sites.google.com/wimlworkshop.org/wiml-unworkshop2022/ 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 @ 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 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 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 Workshop 2010 Vancouver, Canada December 6, 2010 07:30 am — 05:30 pm The 5th annual Women in Machine Learning workshop was colocated with NIPS 2010 in Vancouver, Canada in December 2010. The workshop website is no longer maintained. The organizers were: Diane Oyen, En-Shiun Annie Lee, and Kate Saenko, with faculty advisor Marie desJardins. The invited speakers were: Sally A. Goldman, Raquel Urtasun, Ming Hua, and Isabelle Guyon. 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 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