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- Svitlana Volkova, PhD | WiML
< Back Svitlana Volkova, PhD WiML Director (2016-2018)
- Erin Grant, PhD | WiML
< Back Erin Grant, PhD WiML Director Visit my Profile
- WiML Social @ ICLR 2024 | WiML
All events WiML Social @ ICLR 2024 Vienna, Austria May 8, 2024 12:45PM Date: May 08th, 2024 (Wed.) Time: 12:45 PM- 2:15 PM Place: Hall B, Messe Wien Exhibition Congress Center@Vienna, Austria The topic of the panel will be AI Unplugged: Navigating Everyday Life & Professional Paths. During the panel, we aim to facilitate discussions on various topics, such as mentorship advice and how AI t echnologies are impacting personal and professional domains. Program: 12:45 – 12:50 PM Opening Remarks - Tatjana Chavdarova (WiML board) 12:50 – 1:25 PM Networking & Lunch 12:50 – 1:00 PM Icebreaker games 1:00 – 1:25 PM Networking themed roundtables 1:25 – 2:15 PM Panel discussion: “AI Unplugged: Navigating Everyday Life & Professional Paths” PANELISTS Bahare Fatemi Bahare Fatemi is a Research Scientist at Google Research in Montreal, specializing in graph representation learning and natural language processing. She received her Ph.D. From the University of British Columbia. Her work has been featured in top AI conferences and journals including NeurIPS, ICLR, AAAI, and JMLR. She co-organized the Mining and Learning with Graphs workshop at KDD, Women in Machine Learning (WiML) workshop, and the Montreal AI Symposium. Devi Parikh Devi Parikh, an Associate Professor at Georgia Tech's School of Interactive Computing, previously served as Senior Director of Generative AI at Meta until March 2024. Her diverse career includes roles as Director at Meta's FAIR lab, Assistant Professor at Virginia Tech, and Research Assistant Professor at TTIC. She has held visiting positions at esteemed institutions such as Cornell, UT Austin, Microsoft Research, MIT, Carnegie Mellon, and Facebook AI Research. Her research focuses on generative AI, AI for creativity, multimodal AI, and human-AI collaboration. She boasts numerous awards, including NSF CAREER, Sloan Research Fellowship, and IJCAI Computers and Thought award, among others. Priya Donti Priya Donti is an Assistant Professor and the Silverman (1968) Family Career Development Professor at MIT EECS and LIDS. Her research focuses on machine learning for forecasting, optimization, and control in high-renewables power grids. Priya is also the co-founder and Chair of Climate Change AI, a global nonprofit initiative to catalyze impactful work at the intersection of climate change and machine learning. Priya received her Ph.D. in Computer Science and Public Policy from Carnegie Mellon University. She hold several awards and fellowships including the MIT Technology Review’s 2021 “35 Innovators Under 35” award and the ACM SIGEnergy Doctoral Dissertation Award. MODERATOR Aya Abdelsalam Ismail Aya Abdelsalam Ismail is a research scientist at Prescient Design in the frontier group. Prior to Prescient, she received her Ph.D. from the University of Maryland where she was advised by Soheil Feizi and Héctor Corrada Bravo. During her Ph.D. her research focused on the interpretability of neural models for sequential data. WiML SOCIAL ORGANIZERS Yutong Zhou Yutong Zhou is a Postdoc Researcher at the Leibniz Centre for Agricultural Landscape Research (ZALF), Germany. Her research interests focus on computer vision and deep learning, particularly in Generative Models, Multi-modal Vision and Language. She is concentrating on Artificial Intelligence × Biodiversity × Smart agriculture, surrounding the goals of ‘Global Sustainability for Better AI’ and ‘AI for Best Global Sustainability’. Lisa Weijler Lisa Weijler is a PreDoc researcher at the Computer Vision Lab (CVL), TU Wien, Austria. Her research interests are computer vision and machine learning for 3D and unstructured data, especially point clouds. Additionally, she is passionate about combining her research with medical, social or political science in interdisciplinary projects. She has applied her research for cancer cell detection in pediatric leukemia patients as well as for methodological advancements like SE(3) equivariant convolutions or OOD 3D scene understanding. Her main research focus currently is open vocabulary 3D scene understanding. WiML BOARD ORGANIZERS Hewitt Tusiime – WiML ICLR liaison Erin Grant – D&I chair Tatjana Chavdarova – VP Events WiML Thanks to our sponsors! Previous Next
- WiML PhD Applications Mentorship Program: Panel on Fellowship Applications | WiML
All events WiML PhD Applications Mentorship Program: Panel on Fellowship Applications Virtual September 22, 2022 9:00 m -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: Luisa Cutillo (Leeds), Ioana Bica (University of Oxford; Alan Turing Institute), Amy Zhang (University of Washington), Aleksandra Korolova (Princeton University), Eric Wallace (University of California Berkeley) Moderator: Alessandra Tosi (Mind Foundry) Previous Next
- Sasha Luccioni, PhD | WiML
< Back Sasha Luccioni, PhD WiML Director Visit my Profile
- Hanna Wallach, PhD | WiML
< Back Hanna Wallach, PhD WiML Co-Founder, President (2009-2012), Director (2012-2016) Visit my Profile
- Ramya Ramakrishnan, PhD | WiML
< Back Ramya Ramakrishnan, PhD WiML Director (2020-2022) Visit my Profile
- WiML Workshop 2014 | WiML
All events WiML Workshop 2014 Montreal, Canada December 8, 2014 08:00 am — 06:00 pm The 9th annual Women in Machine Learning workshop was colocated with NIPS 2014 in Montreal, Canada in December 2014. The workshop website is no longer maintained. The organizers were: Allison Chaney, Marzyeh Ghassemi, Sarah Brown, and Jessica Thompson. The invited speakers were: Carla Brodley, Tina Eliassi-Rad, Diane Hu, and Claudia Perlich, with Finale Doshi-Velez giving the opening remarks. Previous Next
- WiML Social @ ICLR 2022 | WiML
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
- Michela Benedetti | WiML
< Back Michela Benedetti WiML Director Visit my Profile
- Jenny Sy, MBA | WiML
< Back Jenny Sy, MBA WiML Treasurer (2019-2022) Visit my Profile
- WiML Dinner @ ICML 2019 | WiML
All events WiML Dinner @ ICML 2019 Long Beach, California June 10, 2019 07:30 pm — 10:00 pm WiML is hosting a dinner at ICML 2019 in Long Beach, California 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. All genders are welcome to attend. The organizer is Sabina Tomkins. The invited speakers are Kamalika Chaudhuri and Barbara Engelhardt. Date: Monday, June 10, 2019, 7.30pm-10.00pm Venue: 108 Yoga Studio Event Space, 237 Long Beach Blvd, Long Beach. Food catered by Ahimsa Vegan Cafe Registration: To accommodate increased demand, we are piloting a new registration process. There are two things you need to do to register for this event: 1. If you already have an access code, go directly to Step 2. Otherwise, fill in this Google Form ( https://forms.gle/VP2DJr9YwuvfQp5p6 ) to obtain an access code. 2. Go to this Eventbrite page starting May 26th 1pm Eastern Time to use your access code to register. If the event is sold-out, check Eventbrite again on June 7th 1pm Eastern Time, when more spots will open up. SPONSORS -Platinum- Previous Next