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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 . Corporate Partners Non-Profit Partners

Empowering Women in Machine Learning: Amplifying Achievements, Elevating Voices Our Projects ABOUT WIML Shining a Spotlight on Women's Excellence in Machine Learning: Inspiring the Next Generation We 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, and our publicity efforts help ensure that women in machine learning and their achievements are known in the community. See Our Events OUR PROJECTS Building Leaders, Bridging Gaps MENTORSHIP PROGRAM We run yearlong mentorship programs to help women working in machine learning give and receive advice, gain knowledge, and make connections. DIRECTORY We maintain a directory of women working in machine learning. Are you a woman or gender minority in the field of Machine Learning? Add yourself to the Directory by creating an account. PROFILES 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. 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 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. Corporate Partners Our generous corporate 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 corporate partners or workshop sponsorship, contact sponsorship@wimlworkshop.org . For any other enquiries, contact info@wimlworkshop.org .

< Back Emma Brunskill, PhD WiML Director (2011-2016)

< Back Diana Cai WiML Director (2019-2022)

All events WiML Mentorship Session @ KDD 2022 Washington DC August 15, 2022 3:30 pm - 5:00 pm The WiML Mentorship Session as part of the WOMEN IN KDD: TOWARDS GENDER EQUITY IN TECH WORKSHOP is happening on Monday, August 15th, 2022, in person as part of the SIGKDD 2022 conference in Washington, DC. The program will include a 90 minute mentorship roundtable session, taking place 3:30 to 5:00 pm EDT. For more information, please navigate to the session booklet here. Previous Next

< Back Barbara Engelhardt, PhD WiML Director (2013-2016)

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

All events WiML Un-Workshop @ ICML 2023 Honolulu, Hawai'i July 28, 2023 9:35 am - 10:50 am The 4th WiML Un-Workshop is co-located with ICML on Friday, July 28th, 2023. For more information or to register, please go here. Previous Next

< Back Hanna Wallach, PhD WiML Co-Founder, President (2009-2012), Director (2012-2016)

All events WiML Luncheon @ COLT 2018 Stockholm, Sweden July 9, 2018 12:00 pm — 02:00 pm WiML is hosting a luncheon at COLT 2018 in Stockholm, Sweden. The organizer is Kamalika Chaudhuri. Date: Monday, July 9, 2018, 12pm-2pm Venue: KTH Campus, Stockholm Registration: Register during COLT registration ( www.learningtheory.org/colt2018/ ). If you registered for COLT but did not register for the WiML lunch, check if you can amend your registration to add WiML lunch registration. If not, email Kamalika Chaudhuri (kamalika AT cs DOT ucsd DOT edu) to attend the lunch. If you are not attending COLT but wish to attend the lunch, also email Kamalika. If you see any errors or omissions or have any information to contribute to this page, please contact us at info@wimlworkshop.org SPONSORS -Platinum- -Diamomd- Previous Next

< Back Pallika Kanani, PhD WiML Director (2013-2015)

< Back Po-Ling Loh, PhD WiML Director Visit my Profile