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< Back Laya Rafiee Sevyeri, PhD WiML Director Visit my Profile

All events 3rd WiML Mentorship Program for PhD Applications: Panel on Fellowship Applications Virtual September 27, 2023 4:00 pm - 5:00 pm This event, part of the WiML’s 2023-2024 Mentorship Program on the theme of PhD applications, takes place 4-5pm UTC in Zoom. Mentors and mentees of the 2023-2024 Mentorship Program are invited to attend. Panelists: Luisa Cutillo (University of Leeds), Deepti Raghavan (Stanford University), Andreea Bobu (Boston Dynamics / MIT) Moderator: Erin Grant (UC Berkeley) Previous Next

< Back Ilene Cartright WiML Director (2019-2022) Visit my Profile

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

< Back Kate Niehaus, PhD WiML Director (2018-2020) Visit my Profile

< Back Jo-Anne Ting, PhD WiML Treasurer (2009-2012)

Empowering Women in Machine Learning: Amplifying Achievements, Elevating Voices, Building Leaders, and Bridging Gaps to enhance the experience of women in machine learning. 15th Women in Machine Learning Workshop (WiML 2020) The 15th WiML Workshop is co-located with the virtual NeurIPS conference on December 9th, 2020. Logistics Program Call for Participation FAQ Code Of Conduct Machine learning is one of the fastest growing areas of computer science research. In spite of the wide reach of machine learning and the variety of theory and applications it covers, the percentage of female researchers is lower than in many other areas of computer science. Most women working in machine learning rarely get the chance to interact with other female researchers, making it easy to feel isolated and hard to find role models. The annual Women in Machine Learning (WiML) Workshop, co-located with NeurIPS, is our flagship event. This day-long technical workshop gives female faculty, research scientists, and graduate students in the machine learning community an opportunity to meet, exchange ideas and learn from each other. The workshop started at the 2006 Grace Hopper Celebration and moved to NeurIPS in 2008. A History of WiML poster was created in 2015 to celebrate the 10th workshop. In 2020, WiML introduced an “un-workshop” at ICML based on the concept of an “un-conference”, a form of discussion on a pre-selected topic that is primarily driven by participants. The overall goal of the un-workshop is to advance research through collaboration and increased interaction among participants from diverse backgrounds. Location The workshop takes place virtually. See program for more details. PROGRAM The full program book for WiML 2020 is now available. Call for Participation Please fill out this form and register for NeurIPS if you would like to attend. All are welcome, and we look forward to your involvement! PLATINUM SPONSORS DIAMOND SPONSORS GOLD SPONSORS SILVER SPONSORS SILVER SPONSORS Back To Top

< Back Sarah Osentoski, PhD WiML President (2019-2022), Director (2009-2015)

Women working in machine learning posts profiles highlighting the research and technical accomplishments of women working in machine learning. PROFILES Women working in machine learning We post profiles highlighting the research and technical accomplishments of women working in machine learning. Read their profiles here and follow us on Facebook to receive updates when new profiles are posted. Read Profiles

< Back Ehi Nosakhare, PhD WiML Director (2021-2024)

< Back Tiffany Vlaar, PhD WiML Director Visit my Profile

< Back Allison Chaney, PhD WiML Secretary (2017-2018), Vice President of Research & Policy (2018-2019), Director (2016) Visit my Profile