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< Back Ramya Ramakrishnan, PhD WiML Director (2020-2022) 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

This page is a list of partners from prior years. Former Partners Our generous partners sponsor WiML’s events, activities and programs on an annual basis. We also seek sponsors specifically for WiML Workshop, our flagship annual workshop co-located with NeurIPS. For any inquiries regarding yearlong partners or workshop sponsorship, contact sponsorship@wimlworkshop.org. For any other enquiries, contact info@wimlworkshop.org . Former Partners 2024-2025 Former Partners 2023-2024 Former Partners 2022-2023 Former Partners 2021-2022 Former Partners 2020-2021 Former Partners 2019-2020

< Back WiML Social @ EurIPS 2025 Treehouse, Bella Center, Copenhagen WiML social @ EurIPS 2025 Previous Next

< Back Clarissa Guevara Gomez Professor at Tec de Monterrey WiML Mentorship Program 4th WiML Mentorship: Ph.D. Applications and Job Seekers 2024–2025 Clarissa Guevara Gómez holds a Bachelor’s degree in Law and a Master’s in Public Policy from Tecnológico de Monterrey. She is also part of the fifth cohort in Strategic Political Communication at the Latin American Faculty of Social Sciences (FLACSO). She has participated as part of the Mexican Delegation at the 63rd Commission on the Status of Women (CSW-63) of the United Nations and at the XIV Regional Conference on Women in Latin America and the Caribbean. She is a researcher within the Alliance’s fr Feminist AI Research Network, where she focuses on gender-sensitive data, femicide prevention strategies, and feminist approaches to artificial intelligence. She previously served as National Officer on Security and Justice and National Officer on Gender and Police Institutions at the United Nations Office on Drugs and Crime (UNODC), supporting institutional strengthening processes with a human rights and gender perspective. Currently, she is a Professor in the Department of Law at Tecnológico de Monterrey, where she teaches courses on gender, justice, and public policy, and she also lectures in the graduate programs in Victimology and Security with a specialization in Crime Prevention at the University of Citizen Security of Nuevo León. She has served as a Mentor in the STEM Olympiads organized by the Institute of Nuclear Sciences of the National Autonomous University of Mexico (UNAM), supporting young women and gender-diverse participants in developing scientific and technological trajectories grounded in social justice and community-centered learning. She was a speaker at the First International Congress of the Center for Critical Studies on Gender and Feminisms at Universidad Iberoamericana (Mexico City): Critical Perspectives on Gender in Contexts of Artificial Intelligence, offering reflections on data ethics and feminist technopolitics. She also participated in the Encontro da Rede Latino-Americana de Inteligência Artificial Feminista – Confluências Tecnofeministas para Futuros Possíveis at the State University of Rio de Janeiro (UERJ), contributing to regional collaborative efforts for situated, community-centered, and justice-oriented approaches to artificial intelligence. What was your favorite part about serving as a WiML Mentor? “The most beautiful part of this project was getting to know, listen, talk, and feel inspired by her way of inhabiting the world, of tracing pathways, and of continuing to build collective will, thinking, acting, and walking alongside Luciana Benotti." Previous Next

< Back Jessica Schrouff, PhD WiML Vice President of Programs (2022-2023), Director (2020-2022, 2023-2024) Visit my Profile

< Back Akiko I. Eriguchi, PhD WiML Treasurer Emeritus (2026-2027), Treasurer (2022-2026) Visit my Profile

< Back WiML Virtual Un-Workshop @ ICML 2021 Virtual The 2nd Women in Machine Learning virtual Un-Workshop is co-located with virtual ICML on Monday, July 21th, 2021. Previous Next

< Back WiML Workshop 2009 Vancouver, Canada The 4th annual Women in Machine Learning workshop was colocated with NIPS 2009 in Vancouver, Canada in December 2009. Previous Next

< Back Kristy Choi, PhD WiML Director (2022-2024)

Enhance the experience of women in machine learning. Toward this goal, we create opportunities for women to engage in substantive technical and professional conversations in a positive, supportive environment. We also work to increase awareness and appreciation of the achievements of women in machine learning. Our programs help women build their technical confidence and their voice so that their achievements are known in the community. Our Mission Enhance the experience of women in machine learning Increase the number of women in machine learning Help women in machine learning succeed professionally Increase the impact of women in machine learning in the community Our Mission Toward this goal, we create opportunities for women to engage in substantive technical and professional conversations in a positive, supportive environment (e.g. annual workshop, small events, mentoring program). We also work to increase awareness and appreciation of the achievements of women in machine learning (e.g. directory and profiles of women in machine learning). Our programs help women build their technical confidence and their voice, and our publicity efforts help ensure that women in machine learning and their achievements are known in the community. WiML is proud to support and promote all women in machine learning, regardless of nationality, ethnicity, race, religion, sexual orientation, or politics.

< Back Claire Monteleoni, PhD WiML Director (2010-2012) Visit my Profile