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- WiML @ Data & AI Careers Festival 2026 | WiML
< Back WiML @ Data & AI Careers Festival 2026 Woodhouse, England Previous Next
- Black in AI-WiML Event: Speed Networking Sessions @ NeurIPS 2020 | WiML
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
- 2nd WiML Mentoring Program for PhD Applications: Panel on Essay Writing | WiML
All events 2nd WiML Mentoring Program for PhD Applications: Panel on Essay Writing Virtual October 6, 2022 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: Sinead Williamson (University of Texas Austin), Mihaela van der Schaar (University of Cambridge), Sanmi Koyejo (University of Illinois Urbana-Champaign; Stanford University), Awa Dieng (Mila) Moderator: Kristy Choi (Stanford University) Previous Next
- WiML Workshop 2011 | WiML
< Back WiML Workshop 2011 Granada, Spain The 6th annual Women in Machine Learning workshop was colocated with NIPS 2011 in Granada, Spain in December 2011. Previous Next
- WiML Social @ ICLR 2023 | WiML
All events WiML Social @ ICLR 2023 Kigali, Rwanda May 3, 2023 3:00 pm - 5:00 pm Date: May 3, 2023 Time: 3:00-5:00pm Loc: Larder Terrace (in the Hotel of the conference center) The topic of the panel will be AI moving forward, leaving no one behind . We hope to get a conversation going regarding ChatGPT, international collaborations, copyright issues of foundational models etc. The program is: 3:00 pm - 3.45 pm Introduction and networking 3.45 pm - 4.30 pm panel discussion on “AI moving forward, leaving no one behind” 4.30 pm – 5:00 pm Networking roundtables Panelist Bios Panelist: Tegan Maharaj Tegan is an Assistant Professor in the Faculty of Information at the University of Toronto, an affiliate of the Vector Institute and Schwartz-Reisman Institute for Technology and Society, and a visiting researcher at the Centre for the Study of Existential Risk at Cambridge University. She is also a managing editor at the Journal of Machine Learning Research (JMLR), the top scholarly journal in machine learning, and co-founding member of Climate Change AI (CCAI), an organization which catalyzes impactful work applying machine learning to problems of climate change. Prior to joining the iSchool, Tegan did her Ph.D. at Mila and Polytechnique Montreal, where she was an NSERC and IVADO-awarded scholar with Chris Pal. Her recent research has two themes (1) Real-world generalization, learning theory, and practical auditing tools (e.g. unit tests, sandboxes) to empirically evaluate learning behavior or simulate deployment of an AI system (2) Deep representation learning & predictive methods in ecological dynamical systems for impact assessment, policy analysis, and risk mitigation, especially for climate and common-good problems. Panelist: Kathleen Siminyu Kathleen Siminyu is an AI Researcher focused on Natural Language Processing(NLP) for African Languages. She works at Mozilla Foundation as a Machine Learning Fellow to support the development of a Kiswahili Speech Recognition dataset and to build transcription models for end use cases in the agricultural and financial domains. In this role, she is keen to ensure the diversity of Kiswahili speakers, in terms of age, gender, accent and language variant/dialect, is catered for in the dataset and models created. She would welcome opportunities exploring the application of speech technologies in education. Kathleen is also currently part of a committee constituted by the African Union to develop an Artificial Intelligence continental strategy for Africa. Before joining Mozilla, Kathleen was Regional Coordinator of AI4D Africa , where she worked with ML and AI communities in Africa to run research programs. One of these, a fellowship for African language dataset creation, led to the creation of over 9 African language datasets. For this work, Kathleen was listed as one of the MIT Technology Review 35 Innovators under 35 for 2022 . She has vast experience as a community organiser having co-organised the Nairobi Women in Machine Learning and Data Science community for three years and she continues to organise as part of the committees of the Deep Learning Indaba and the Masakhane Research Foundation . Supervolunteer: Hewitt Tusiime Hewitt Tusiime is a research assistant at the Makerere Artificial Intelligence Research lab at Makerere University with a particular interest in data science for finance and AI governance and ethics. She graduated from Makerere University with a Bachelor of Science in Software Engineering. She has worked on several research projects related to the application of machine learning algorithms in agriculture, natural language processing, and finance. She also has extensive experience designing and developing protocols for system deployment, ensuring effectiveness, and a smooth user adoption process. She is passionate about the ethical and social implications of AI on different groups of people. She also oversees community engagement while working to achieve research project objectives and strengthen bonds of trust between communities and the project teams. Organiser: Caroline Weis Dr. Caroline Weis is currently an AI/ML Engineer at GSK.ai , working on clinical machine learning applications. Centered around multi-omics and multimodal clinical data, her projects leverage approaches from biomarker discovery, model interpretability and personalised healthcare. Caroline joined GSK.ai after obtaining a PhD in Machine Learning for Healthcare from ETH Zurich, where she developed early clinical machine learning applications for antimicrobial resistance prediction, through developing new kernel methods, adversarial domain adaptation and representation learning. Her research was elected for the Remarkable Outputs award of 2021 by the Swiss Institute of Bioinformatics. Prior to that, she has built an academic background bridging microbiology, biomathematics, and biophysics. She worked on protein X-ray scattering at Lawrence Berkeley National Laboratory and gained experience developing machine learning applications for screening images at Genedata in Basel. She holds an MSc in Biotechnology and a BSc in Integrated Life Sciences. Previous Next
- Sasha Luccioni, PhD | WiML
< Back Sasha Luccioni, PhD WiML Director (2022-2025)
- About WiML Workshops | WiML
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
- FAQ | WiML
What kind of events do you organize? Our flagship event is the annual WiML Workshop, typically co-located with NeurIPS, a machine learning conference. Check out our events page for up-to-date listings of events. Do you have a list of members? How can I join WiML? How can I join the WiML mailing list? What kind of events do you organize? Do you have local meetups? How do I reach the WiML network? How can I sponsor WiML? I am looking for an invited speaker/panelist/area chair/program committee member/ etc. Can WiML help me? I want to circulate a job posting. Can WiML help me? How can I support WiML? How did WiML start? What's the founding story? I have a question that isn't here. How do I reach you? FAQ
- Diane Oyen, PhD | WiML
< Back Diane Oyen, PhD WiML Director (2025-2026) Visit my Profile
- Past Board of Directors | WiML
Past Board of Directors: WiML would like to acknowledge the efforts of previous board members whose efforts made WiML into what it is today. Past Board of Directors WiML would like to acknowledge the efforts of previous board members whose efforts made WiML into what it is today. If you see any errors or omissions on this page please contact us at info@wimlworkshop.org . Jenn Wortman Vaughan, PhD WiML Co-Founder, Director (2009-2012, 2014-2018) Read More Sarah Osentoski, PhD WiML President (2019-2022), Director (2009-2015) Read More Bethany Edmunds, PhD WiML President (2022-2023), Vice President of Programs (2021-2022), Director (2020-2021) Read More Allison Chaney, PhD WiML Secretary (2017-2018), Vice President of Research & Policy (2018-2019), Director (2016) Read More Akiko I. Eriguchi, PhD WiML Treasurer Emeritus (2026-2027), Treasurer (2022-2026) Read More Jo-Anne Ting, PhD WiML Treasurer (2009-2012) Read More Jennifer Healey, PhD WiML Vice President of Events (2017-2019, 2020-2021), Director (2019-2020) Read More Jessica Montgomery WiML Vice President of Research & Policy (2020-2021), Director (2019-2020, 2021-2022) Read More Tamara Broderick, PhD WiML Director (2013-2019) Read More Sinead Williamson, PhD WiML Director (2015-2018, 2020-2021) Read More Christina Papadimitriou WiML Director (2021-2025) Read More Barbara Engelhardt, PhD WiML Director (2013-2016) Read More Ilene Cartright WiML Director (2019-2022) Read More Sasha Luccioni, PhD WiML Director (2022-2025) Read More Pallika Kanani, PhD WiML Director (2013-2015) Read More Brandie Nonnecke, PhD WiML Director (2019-2021) Read More Jane Wang, PhD WiML Director (2020-2022) Read More Sarah Aerni, PhD WiML Director (2021-2023) Read More Abigail Jacobs, PhD WiML Director (2018-2019) Read More Belén Saldías WiML Director (2022-2023) Read More Bahare Fatemi, PhD WiML Director (2023-2024) Read More Caroline Weis, PhD WiML Director (2022-2026) Read More Diane Oyen, PhD WiML Director (2025-2026) Read More Hanna Wallach, PhD WiML Co-Founder, President (2009-2012), Director (2012-2016) Read More Finale Doshi-Velez, PhD WiML President (2013-2015), Director (2009-2012, 2016-2018) Read More Ioana Bica, PhD WiML Secretary (2023-2025), Director (2021-2023) Read More Inmar Givoni, PhD WiML Secretary (2009-2012) Read More Po-Ling Loh, PhD WiML Treasurer (2023-2024), Director (2020-2023, 2024-2025) Read More Alice Zheng, PhD WiML Treasurer (2013-2015), Director (2012) Read More Jessica Schrouff, PhD WiML Vice President of Programs (2022-2023), Director (2020-2022, 2023-2024) Read More Nezihe Merve Gürel, PhD WiML Vice President of Events (2022-2023), Director (2021-2022) Read More Katherine Heller, PhD WiML Director (2012-2018) Read More Danielle Belgrave, PhD WiML Director (2019-2020, 2021-2024) Read More Elena Glassman, PhD WiML Director (2009-2012) Read More Diana Cai, PhD WiML Director (2019-2022) Read More Keren Gu WiML Director (2019-2022) Read More Svitlana Volkova, PhD WiML Director (2016-2018) Read More Claire Monteleoni, PhD WiML Director (2010-2012) Read More Meghana Bhimarao WiML Director (2019-2021) Read More Ramya Ramakrishnan, PhD WiML Director (2020-2022) Read More Catherine Wah, PhD WiML Director (2022-2024) Read More Rachel Thomas, PhD WiML Director (2019-2020) Read More Linh Tran, PhD WiML Director (2022-2023) Read More Audrey Chang, PhD WiML Director (2022) Read More Archana Vaidheeswaran WiML Director (2023-2026) Read More Tiffany Vlaar, PhD WiML Director (2025-2026) Read More Sarah Tan, PhD WiML President (2023-2026), Vice President of Events (2019-2020), Director (2018-2019, 2020-2023) Read More Katherine M. Kinnaird, PhD WiML President (2016-2019), Director (2014-2015) Read More Jessica Thompson, PhD WiML Secretary (2018-2020), Director (2016-2017) Read More Alicia Yi-Ting Tsai, PhD WiML Secretary (2020-2023) Read More Sarah Brown, PhD WiML Treasurer (2016-2019) Read More Jenny Sy WiML Treasurer (2019-2022) Read More Been Kim, PhD WiML Vice President of Research & Policy (2019-2020), Director (2016-2018) Read More Audrey Durand, PhD WiML Vice President of Events (2021-2022) Read More Emma Brunskill, PhD WiML Director (2011-2016) Read More Raia Hadsell, PhD WiML Director (2017-2021) Read More Nevena Lazic, PhD WiML Director (2009-2012) Read More Feryal Behbahani, PhD WiML Director (2019-2022) Read More Ehi Nosakhare, PhD WiML Director (2021-2024) Read More Marzyeh Ghassemi, PhD WiML Director (2016-2018) Read More Kate Niehaus, PhD WiML Director (2018-2020) Read More Savannah Thais, PhD WiML Director (2019-2021) Read More Sarah Poole, PhD WiML Director (2020-2022) Read More Kristy Choi, PhD WiML Director (2022-2024) Read More Sara Jennings WiML Director (2021-2022) Read More S. Aga Lee WiML Director (2022-2023) Read More Hewitt Tusiime WiML Director (2024) Read More Gloria Namanya WiML Director (2023-2026) Read More
- Katherine Heller, PhD | WiML
< Back Katherine Heller, PhD WiML Director (2012-2018) Visit my Profile
- WiML Workshop 2007 | WiML
< Back WiML Workshop 2007 Orlando, Florida 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. Previous Next










