All events WiML @ AAAI-25 Women’s Mentoring Lunch Philadelphia, PA, USA March 2, 2025 12:30pm ET to 2:00 pm ET The AAAI-25 Women’s Mentoring Lunch is an event for women and non-binary students and early career researchers to make connections with their peers and leaders in our field. Brief introductory remarks and/or a panel discussion will prime discussion over lunch in smaller breakout groups, where participants can freely discuss issues affecting their career goals and overall well-being, such as managing technical demands of research, managing the job market, managing work-life balance, and so on. Our aim is to create a safe, welcoming, and inclusive environment where connections of all types (mentor-mentee, peer-peer) can be made and persist over future conference Organizers: Maria Chang, Paula Rodriguez-Diaz Additional information can be found Here or by email maria.chang@ibm.com . Previous Next

All events WiML Workshop @ NeurIPS 2022 New Orleans, Louisiana November 28, 2022 7:30 am - 6:00 pm 17th Women in Machine Learning Workshop (WiML 2022) The Workshop is co-located with NeurIPS on Monday, November 28th, 2022 at the New Orleans Convention Center in Louisiana, USA. Call for Participation 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 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

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

All events WiML Workshop @ NeurIPS 2024 Vancouver, Canada December 10, 2024 19th Women in Machine Learning Workshop (WiML 2024) — the workshop is co-located with NeurIPS on Tuesday, December 10th, 2024. For more information or to register, please visit the event’s website here. Previous Next

All events WiML Breakfast @ ICML 2013 Atlanta, Georgia June 18, 2013 07:00 am — 08:30 am WiML is hosting a breakfast at ICML 2013 in Atlanta, Georgia. The event features brief talks by, and directed discussion with, fellow women in machine learning. The invited speaker is Corinna Cortes. Date: Tuesday, June 18, 2013, 7am-8.30amVenue: Atlanta, GeorgiaEvent details: https://icml.cc/2013/index.html%3Fp=757.htmlRegistration : http://tinyurl.com/wiml-icml-2013 If you see any errors or omissions or have any information to contribute to this page, please contact us at info@wimlworkshop.org SPONSORS Previous Next

Board of Directors Established in 2009, the goals of the Board of Directors are to: (i) facilitate long-term activities, such as multi-year funding grants; (ii) ensure the continuity of the workshop across years; (iii) organize activities such as a mentorship network and additional activities unrelated to the workshop. Current board members are listed below. Tatjana Chavdarova, PhD WiML President Read More Alessandra Tosi, PhD WiML Vice President of Programs Read More Michela Benedetti WiML Director Read More Luisa Cutillo, PhD WiML Director Read More Tiffany Ding WiML Director Read More Giulia Clerici, PhD WiML Director Read More Kairan Zhao WiML Director Read More Man Lou, PhD WiML Director Read More Natasa Tagasovska, PhD WiML Secretary Read More Arushi GK Majha, PhD WiML Treasurer Read More Eda Okur WiML Director Read More Laya Rafiee Sevyeri, PhD WiML Director Read More Shweta Khushu WiML Director Read More Claire Vernade, PhD WiML Director Read More Yolanne Lee WiML Director Read More Sophia Abraham, PhD WiML Director Read More Mandana Samiei WiML Vice President of Events Read More Erin Grant, PhD WiML Director Read More Judy Hanwen Shen WiML Director Read More Elizabeth Healey, PhD WiML Director Read More Nikita Saxena WiML Director Read More Irene Ballester WiML Director Read More Kimberly Ferguson-Walter, PhD WiML Director Read More Amy Zhang, PhD WiML Director Read More

Past Mentors Here we highlight Past Mentors of WiML Sharmita Dey Postdoctoral Researcher at ETH Zurich Read More Love Allen Chijioke Ahakonye Senior Researcher at Kumoh National Institute of Technology Read More Sandhya Prabhakaran Applied Research Scientist at Moffitt Cancer Center, Tampa, Florida Read More Clarissa Guevara Gomez Professor at Tec de Monterrey Read More Sidhika Balachandar PhD Student at UC Berkeley Read More

< Back WiML Social @ ICLR 2025 Singapore "Papers, patents, or products? Making the right career call across academia & industry" The panel explores key career decisions in today's ML landscape: choosing between research publications and product development, weighing academic freedom against industry resources. Previous Next

< Back Hewitt Tusiime WiML Director (2024)

< Back Jessica Montgomery WiML Vice President of Research & Policy (2020-2021), Director (2019-2020, 2021-2022) Visit my Profile