Opportunity to meet, exchange ideas and learn from each other Read more The annual Women in Machine Learning (WiML) Workshop, co-located with NeurIPS, is our flagship event. WiML ORGANIZERS Gratitude to Workshop Organizers: WiML's Foundation and Inspiration WiML was founded in 2006 by Hanna Wallach, Jenn Wortman, and Lisa Wainer, with faculty advisor Amy Greenwald. 2007 workshop organizers: Hila Becker and Bethany Leffler. Faculty advisor Lise Getoor. 2008 workshop organizers: Luiza Antonie, Anna Koop, and Jo-Anne Ting. Faculty advisor Joelle Pineau. 2009 workshop organizers: Finale Doshi, Inmar Givoni, and Farheen Omar. Faculty advisor Daphne Koller. 2010 workshop organizers: Diane Oyen, En-Shiun Annie Lee, and Kate Saenko. Faculty advisor Marie desJardins. 2011 workshop organizers: Nevena Lazic, Monica Babes-Vroman, Rongjing Xiang. Faculty advisor Hanna Wallach. 2012 workshop organizers: Tamara Broderick, Minmin Chen, Pallika Kanani, and Tejaswini Narayanan. Faculty advisor Raquel Urtasun. 2013 workshop organizers: Jennifer Healey, Katie Kinnaird, Talieh S. Tabatabaei, Sonia Todorova 2014 workshop organizers: Allison Chaney, Marzyeh Ghassemi, Sarah Brown, and Jessica Thompson. 2015 workshop organizers: Abbie Jacobs, Kate Niehaus, Svitlana Volkova, Maithra Raghu, Ramya Ramakrishnan. Website 2016 workshop organizers: Diana Cai, Deborah Hanus, Sarah Tan, Isabel Valera, Rose Yu. Website 2017 workshop organizers: Genna Gliner, Ehi Nosakhare, Maja Rudolph, Danielle Belgrave, Negar Rostamzadeh. Website 2018 workshop organizers: Aude Hofleitner, Audrey Durand, Nyalleng Moorosi, Sarah Poole, Amy Zhang. Website 2019 workshop organizers: Michela Paganini, Sarah Aerni, Forough Poursabzi Sangdeh, Nezihe Merve Gürel, Bahare Fatemi. Website 2020 un-workshop organizers: Fariba Yousefi, Caroline Weis, Tatjana Chavdarova, Mandana Samiei, Larissa Schiavo. Website 2020 workshop organizers: Xinyi Chen, Erin Grant, Kristy Choi, Krystal Maughan, Xenia Miscouridou, Judy Hanwen Shen, Raquel Aoki, Belen Saldias, Melissa Woghiren, Elizabeth Wood. Website 2021 un-workshop organizers: Beliz Gokkaya, Wenshuo Guo, Arushi Majha, Hadia Mohmmed Osman Ahmed Samil, Berivan Isik, Liyue Shen, Olivia Choudhury, and Vaidheeswaran Archana. Website 2021 workshop organizers: Boyi Li, Mariya I. Vasileva, Linh Tran, Akiko Eriguchi, Meera Desai, S. Aga Lee, Jieyu Zhao, Salomey Osei, Sirisha Rambhatlam, Geeticka Chauhan, Nwamaka Okafor. Website 2022 un-workshop organizers: Paula Gradu, Vinitra Swamy, Giulia Clerici, Mozhgan Saeidi, Noor Sajid, Yina Lin, Shweta Khushu, Deeksha Shama. Website 2022 workshop organizers: Sergül Aydöre, Konstantina Palla, Gloria Namanya, Beliz Gunel, Mariam Arab, Kimia Nadjahi. Website 2023 un-workshop organizers: Giulia Luise, Priyadarshini Kumari, Stephanie Milani, Tiffany Ding, Arianna Bunnell. Website 2023 workshop orgnizers: Natasa Tagasovska, Kelly Buchanan, Megha Srivastava, Jess Sorrell, Hewitt Tusiime, Eda Okur, Shweta Khushu. Website 2024 symposium organizers: Elizabeth Healey, Maryleen Amaizu, Laya Rafiee Sevyeri, Irene Ballester Campos. Website 2024 workshop organizers: Tiffany Vlaar, Ibtihel Amara, Mehrnaz Mofakhami, Bo Zhao, Milica Cvetkovic, Nikita Saxena, Yolanne Yi Ran Lee, Mahsa Massoud. Website 2025 symposium organizers: Mariya Hendriksen, Sophia Abraham, Ninon Lizé Masclef, Meriem Mehri. Christianah Titilope Oyewale. Website 2025 workshop organizers: Ana Maria Quintero Ossa, Kristina Ulicna, Trisha Mittal, Kairan Zhao, Man Luo, Jean Amukwatse, Zeinab Abboud, Aishwarya Jadhav, Akshita Ramya Kamsali. Website ABOUT WiML WORKSHOPS Opportunity to meet, exchange ideas and learn from each other 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. A History of WiML Poster Professional and technical Open to all genders and inclusive Positive and productive

< Back WiML Symposium @ ICML 2025 Vancouver, Canada The WiML Symposium co-located with ICML 2025 Previous Next

< Back WiML Workshop @ NeurIPS 2024 Vancouver, Canada WiML Workshop 2024 Previous Next

< Back Elizabeth Healey, PhD WiML Director Visit my Profile

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

< Back Finale Doshi-Velez, PhD WiML President (2013-2015), Director (2009-2012, 2016-2018)

< Back WiML Workshop 2010 Vancouver, Canada The 5th annual Women in Machine Learning workshop was colocated with NIPS 2010 in Vancouver, Canada in December 2010. Previous Next

< Back Meghana Bhimarao WiML Director (2019-2021)

< Back WiML Luncheon @ CoRL 2018 Zurich, Switzerland WiML is hosting a luncheon at CoRL 2018 in Zurich, Switzerland. The organizer is Aude Billard. Previous Next

< Back Danielle Belgrave, PhD WiML Director (2019-2020, 2021-2024)

< Back WiML Virtual Social @ ICLR 2020 Virtual WiML is hosting a virtual social, involving a panel and mentoring session, at ICLR 2020. Previous Next

< Back Sharmita Dey Postdoctoral Researcher at ETH Zurich WiML Mentorship Program 2nd WiML Mentorship: PhD Applications, 2022–2023, 3rd WiML Mentorship: PhD Applications, 2023–2024 Sharmita Dey completed her Master’s degree at the Institute of Artificial Intelligence, TU Dresden, Germany. She conducted her master’s thesis on ""Generalized Decoding of Control Signals from Surface Electromyography Signals"" at the DLR Institute of Robotics and Mechatronics in Oberpfaffenhofen, Germany. Following this, she earned her Ph.D. degree from the Department of Computer Science, University of Göttingen, Germany, focusing on ""Learning-Based Biomimetic Strategies for Developing Control Schemes from Lower Extremity Rehabilitation Robotic Devices,"" for which she was awarded summa cum laude. During her Ph.D., she interned at NASA's Jet Propulsion Laboratory, contributing to projects enhancing ground robot traversability in challenging environments. In this role, she became a part of team CoSTAR taking part in the DARPA Subterranean Robotics Challenge 2021. She then held a postdoctoral position at the University of Göttingen, Germany, where her research focused on vision-based, label-efficient learning and object-centric models for understanding the interactions and dynamics of moving objects. Further, as a postdoc at the University of Göttingen, her research explored domain adaptation, multitask learning, multimodal learning, and learning from simulated interactions using world models, to enhance predictive and adaptive learning. Currently, at ETH Zurich, her research focuses on multimodal self-supervised learning methods for biosignals. She also serves as a reviewer for leading AI and robotics venues, including NeurIPS, ICLR, ICML, AISTATS, ICRA, and IROS. What was your favorite part about serving as a WiML Mentor? “Serving as a WiML mentor is deeply rewarding; I enjoy helping emerging researchers find their voice, navigate challenges, and grow in confidence. The exchange of ideas is mutual and inspiring, reminding me that inclusion fuels creativity, scientific depth, and lasting impact in AI” Previous Next