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Women in Machine Learning (WiML) is a volunteer-run organization dedicated to supporting women in the male-dominated field of machine learning. Through events and programs, WiML fosters a positive and inclusive environment for professional and technical growth. For media inquiries, interview requests, and collaborations, please reach out to our press email. press@wimlworkshop.org About WiML Women in Machine Learning (WiML) is a volunteer-run organization dedicated to supporting women in the male-dominated field of machine learning. Through events and programs, WiML fosters a positive and inclusive environment for professional and technical growth. Our Mission The field of machine learning, while growing immensely in scale and scope in the last decade, has a major lack of gender diversity: only 14% of authors of ML papers are women and on average, only 20% of professors are female. WiML’s mission is to enhance the experience of women in machine learning; toward this goal, WiML aims to: WiML creates opportunities for women to engage in substantive technical and professional conversations in positive, supportive environments. WiML also works to increase awareness and appreciation of the achievements of women in the field (e.g. award nominations, invited speaker recommendations) to help ensure that women in machine learning and their achievements are known in the community. Our History and Achievements Since its founding in 2006, WiML has grown into a major force for inclusivity in machine learning. Some of our key milestones include: Annual WiML Workshop : Held alongside the NeurIPS Conference, our flagship workshop has grown from a small gathering to over 1,500 participants in 2021. Networking Events: We organize networking opportunities at ML conferences, fostering connections across the industry. Public Directory: Our directory helps conference organizers find women speakers and panelists in machine learning. Social Media Presence: With 17.2K followers on Twitter , we amplify the voices of women in ML. Mailing List: Nearly 7,000 subscribers receive job opportunities, event updates, and industry news. For media inquiries or interview requests, please reach out to our press email. Press Contact press@wimlworkshop.org

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

< Back Jane Wang, PhD WiML Director (2020-2022)

< Back Belén Saldías WiML Director (2022-2023)

< Back Marzyeh Ghassemi, PhD WiML Director (2016-2018) Visit my Profile

< Back Sidhika Balachandar PhD Student at UC Berkeley WiML Mentorship Program 2nd WiML Mentorship: PhD Applications, 2022–2023, 3rd WiML Mentorship: PhD Applications, 2023–2024, 4th WiML Mentorship: Ph.D. Applications and Job Seekers 2024–2025 "Hello! My name is Sidhika. I am a fourth-year Computer Science PhD student at UC Berkeley. I work on problems at the intersection of machine learning, fairness, and healthcare. I am advised by Emma Pierson and Nikhil Garg. I am fortunate to be supported by the NSF GRFP. I am interested in creating models in settings where outcome data is missing or biased (e.g., ICLR 2024). In particular, my research has focused on the following questions: What are the challenges of using outcome data collected from human decision makers or crowdsourced platforms? What identification approaches can we use to create models in these settings? Can we leverage external, domain specific information or data?" What was your favorite part about serving as a WiML Mentor? "As a WiML mentor, I have been able to meet and learn from some amazing peers! My mentees have shaped my research vision, given me book recs, and have been a pleasure to get to know!" Previous Next

< Back Gloria Namanya WiML Director (2023-2026)

< Back Nezihe Merve Gürel, PhD WiML Vice President of Events (2022-2023), Director (2021-2022)

< Back Rachel Thomas, PhD WiML Director (2019-2020) Visit my Profile

< Back Sara Jennings WiML Director (2021-2022)

< Back Sarah Aerni, PhD WiML Director (2021-2023)

< Back Hewitt Tusiime WiML Director (2024) Visit my Profile