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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

All events WiML @ Mujeres en Inteligencia Artificial (Women in Artificial Intelligence) El Montonero Restaurant, Alameda Pardo 123, Cercado, Peru and Virtual February 20, 2025 19:00 - 21:30hrs The event will feature a 35-minute panel discussion with three female experts in AI. The panel will explore strategies for empowering women to thrive in the field of Artificial Intelligence and Machine Learning, drawing insights from the speakers' professional journeys. Additionally, the discussion will delve into technical trends and advancements, with each speaker sharing their perspectives on the future of AI within their specialized areas, such as Natural Language Processing (NLP), Computer Vision (CV), and Responsible AI. The session will conclude with a Q&A segment, followed by a dinner and networking opportunity to foster meaningful connections. Organizers: Rosa Paccotacya Yanque, Nils Murrugarra Llerena Additional information can be found by email at nem177@pitt.edu or rypaccotacya@ucsp.edu.pe . Previous Next

All events WiML Symposium @ ICML 2025 Vancouver, Canada July 16, 2025 9:30 AM - 5:00 PM The Women in Machine Learning Symposium @ ICML 2025 is an inclusive, community-centered event that is happening on Wednesday, July 16th, in person as part of the ICML 2025 conference in Vancouver, Canada. The program features invited talks, a panel discussion, poster sessions, mentoring round tables, breakout Q&As, and community networking opportunities. Additional information can be found here . Previous Next

All events WiML Luncheon @ ICML 2016 New York, New York June 21, 2016 12:00 pm — 02:00 pm WiML is hosting a luncheon at ICML 2016 in New York, New York. This event gives female faculty, research scientists, data scientist, and graduate students in the machine learning community an opportunity to meet, exchange ideas and learn from each other. Date: Tuesday, June 21, 2016, 12pm-2pm Venue: Microsoft building (5th floor), 11 Times Square, New York Registration: https://www.eventbrite.com/e/wiml-icml-luncheon-2016-tickets-25415537557# If you see any errors or omissions or have any information to contribute to this page, please contact us at info@wimlworkshop.org SPONSORS -Silver- -Bronze- Previous Next

All events WiML Workshop 2007 Orlando, Florida October 17, 2007 09:00 am — 05:40 pm The 2nd annual Women in Machine Learning workshop was colocated with Grace Hopper Celebration of Women in Computing 2007 in Orlando, Florida in October 2007. The workshop website is no longer maintained. The organizers were: Hila Becker and Bethany Leffler, with faculty advisor Joelle Pineau. The invited speakers were: Kiri Wagstaff, Marta Arias, Nina Mishra, and Sally Goldman. 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 @ 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