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

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

All events WiML Virtual Un-Workshop @ ICML 2020 Virtual July 13, 2020 8:00 pm - 6:00 pm The 1st Women in Machine Learning virtual Un-Workshop is co-located with virtual ICML on Monday, July 13th, 2020. See the un-workshop website for details. The organizers are Fariba Yousefi, Caroline Weis, Tatjana Chavdarova, Mandana Samiei, Larissa Schiavo. Previous Next

All events WiML Dinner @ ICML 2018 Stockholm, Sweden July 11, 2018 07:30 pm — 10:30 pm WiML is hosting a dinner at ICML 2018 in Stockholm, Sweden, to bring together women in machine learning from different research areas and across all stages of their careers to meet, find mentorship, and learn from each other. The organizer is Eva Garcia Martin. The invited speakers are Anima Anandkumar, Doina Precup, and Jennifer Dy. Date: Wednesday, July 11, 2018, 7.30pm-10.30pm Venue: The Garden Restaurant, Stockholmsmässan, 1 Mässvägen, 125 80 Älvsjö, Stockholm Registration: https://wiml-icml2018-dinner.eventbrite.com SPONSORS -Platinum- -Diamomd- Previous Next

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

All events WiML Partner Event: New England Women in AI Workshop with IBM Research Cambridge, Massachusetts September 19, 2019 02:45 pm — 06:00 pm WiML is excited to announce t he New England Women in AI Workshop by WiML Partner IBM Research in the Cambridge area. The goal is to encourage and support local women, especially students, post-docs, early career researchers and engineers, by offering seminars from thought-leading women in ML, providing opportunities to present their own research, and connecting them to mentors, role models and colleagues. This year, the workshop will include talks, a panel, and a networking reception highlighting the work of women in AI. All are welcome to attend. When: Thursday, September 19th, 2019 Where: Samberg Conference Center , 7th Floor, MIT Building E52, Cambridge, MA Registration: The event is open and free but registration is required at https://www.eventbrite.com/e/ibm-wiml-partner-event-new-england-women-in-ai-workshop-2019-workshop-registration-70284381477 . Organized by IBM Research. Questions? Contact Kristen Severson at kristen.severson@ibm.com . Thanks to the organizers Lisa Amini (IBM Research), Preethi Raghavan (IBM Research), Kristen Severson (IBM Research). IBM Research is a WiML Platinum Partner. Previous Next

All events WiML Dinner @ ICLR 2019 New Orleans, Louisiana May 6, 2019 07:30 pm — 10:30 pm WiML is hosting a dinner at ICLR 2019 in New Orleans, Louisiana to bring together women in machine learning from different research areas and across all stages of their careers to meet, find mentorship, and learn from each other. The organizer is Jaelle Scheuerman. The invited speakers are Karen Livescu, Alice Oh, and Parisa Kordjamshidi. Date: Monday, May 6, 2019, 7.30pm-10.30pm Venue: Mulate’s, 201 Julia St, New Orleans Registration: https://www.eventbrite.com/e/wiml-iclr-dinner-2019-tickets-60212858280 SPONSORS -Platinum- Previous Next

< Back Tamara Broderick, PhD WiML Director (2013-2019) Visit my Profile

All events WiML Luncheon @ CoRL 2019 Osaka, Japan November 1, 2019 12:00 pm — 01:30 pm WiML is hosting a luncheon at CoRL 2019 in Osaka, Japan to bring together women in machine learning from different research areas and across all stages of their careers to meet, find mentorship, and learn from each other. The invited speakers are Anca Dragan, Yukie Nagai, and Chelsea Finn. Date: Nov 1, 12-1:30pm Venue: Senri Hankyu Hotel Osaka Registration: https://www.eventbrite.com/e/wiml-at-corl-an-event-to-celebrate-the-women-in-the-corl-community-registration-77723345619 SPONSORS -Platinum- Previous Next

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 Workshop 2010 Vancouver, Canada December 6, 2010 07:30 am — 05:30 pm The 5th annual Women in Machine Learning workshop was colocated with NIPS 2010 in Vancouver, Canada in December 2010. The workshop website is no longer maintained. The organizers were: Diane Oyen, En-Shiun Annie Lee, and Kate Saenko, with faculty advisor Marie desJardins. The invited speakers were: Sally A. Goldman, Raquel Urtasun, Ming Hua, and Isabelle Guyon. If you see any errors or omissions or have any information to contribute to this page, please contact us at info@wimlworkshop.org 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