< Back Eda Okur WiML Director Visit my Profile

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

< Back Audrey Chang, PhD WiML Director (2022) Visit my Profile

< Back WiML Luncheon @ ICML 2016 New York, New York WiML is hosting a luncheon at ICML 2016 in New York, New York. Previous Next

< Back WiML @ ALT 2025 Milan, Italy and Virtual WiML endorsed social dinner at ALT 2025 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

< Back WiML Workshop 2017 Long Beach, California The 12th annual Women in Machine Learning workshop will be colocated with NIPS 2017 in Long Beach, California in December 2017. Previous Next

< Back Tiffany Vlaar, PhD WiML Director (2025-2026)

All events WiML Workshop 2009 Vancouver, Canada December 7, 2009 08:00 am — 06:00 pm The 4th annual Women in Machine Learning workshop was colocated with NIPS 2009 in Vancouver, Canada in December 2009. The workshop website is no longer maintained. The organizers were: Finale Doshi, Inmar Givoni, and Farheen Omar, with faculty advisor Daphne Koller. The invited speakers were: Kristen Grauman, Dana Pe’er, Odelia Schwartz, and Michèle Sebag, 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 Social @ ICLR 2022 Virtual April 25, 2022 7:00 pm - 9:00 pm A one hour Virtual Panel session (45 min + 15 min Q&A from the audience) which will take place on April 25th, 19:00-20:00 GMT. The topic of the panel will be the interplay of academia and geographic location. During the Virtual Panel we hope to encourage discussions about geographically specific challenges experienced in academia. To apply for registration funding go to: https://forms.gle/A6zyMdXt21kHQZNSA Moderated by Dr. Caroline Weis Panelists Include: Akiko Eriguchi, Senior Researcher, Microsoft. Akiko is a Senior Researcher at Microsoft.　Her research interests lie in multilingual NLP and deep learning. With her position in the Microsoft Translator team, she has developed MT systems and multilingual NLP applications. Her work has been published in ACL, EMNLP, etc. She has served as a reviewer for ACL, EMNLP, NeurIPS, AAAI. She is also a 2021-2022 co-organizer of the Workshop on Asian Translation. Prior to joining Microsoft, she was a Research Fellow (DC1) at the Japan Society for the Promotion of Science. She obtained her doctoral degree from the University of Tokyo, Japan, where her PhD thesis received the sixth AAMT Nagao Student award from the Asia-Pacific Association for Machine Translation. Nora Hollenstein, Assistant Professor, University of Copenhagen. Nora is an assistant professor in NLP & Cognitive Science at the University of Copenhagen. Before joining the Center for Language Technology at the University of Copenhagen, Nora was a PhD candidate at DS3Lab at ETH Zurich working on cognitively inspired natural language processing. She was also a lecturer at the Institute of Computational Linguistics of the University of Zurich. The focus of her research lies in enhancing NLP applications with cognitive data such as eye-tracking and brain activity recordings. She is especially interested in multi-modal learning, learning from limited data, and the interpretability and cognitive plausibility of machine learning models. Jessica Schrouff, Senior Research Scientist, Google Research. Jessica is a Senior Research Scientist at Google Research working on machine learning for healthcare. Before joining Google in 2019, she was a Marie Curie post-doctoral fellow at University College London (UK) and Stanford University (USA), developing machine learning techniques for neuroscience discovery and clinical predictions. Throughout her career, Jessica’s interests have lied not only in the technical advancement of machine learning methods, but also in critical aspects of their deployment such as their credibility, fairness, robustness or interpretability. Previous Next

< Back Allison Chaney, PhD WiML Secretary (2017-2018), Vice President of Research & Policy (2018-2019), Director (2016) Visit my Profile