< Back WiML Networking Lunch at RLC Outdoor space near the Jean-Brillant Building, Université de Montréal Previous Next

< Back Man Lou WiML Visit my Profile

< Back WiML Luncheon @ COLT 2018 Stockholm, Sweden 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. Previous Next

< Back Kate Niehaus, PhD WiML Director (2018-2020) Visit my Profile

< Back WiML-CWS Event: Community-Driven Mentoring Event and Panel @ AISTATS 2021 Virtual WiML is excited to announce a joint event with the Caucus for Women in Statistics at AISTATS 2021. Previous Next

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

< Back Sarah Osentoski, PhD WiML President (2019-2022), Director (2009-2015) Visit my Profile

< Back Alicia Yi-Ting Tsai, PhD WiML Secretary (2020-2023) Visit my Profile

< 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

WiML is committed to advancing the careers of women and non-binary people studying and working in machine learning. MAILING LIST Please use our mailing list to post job postings, announcements, calls for participation, etc. DIRECTORY & PROFILES OF WOMEN IN MACHINE LEARNING Please use our directory of women working in machine learning to find invited speakers, area chairs, conference committee members, etc. Also check out our profiles on women in machine learning . OTHER CONFERENCES & WORKSHOPS Grace Hopper Celebration Women in Data Science Conference Rising Stars EECS Workshop CRA-W Grad Cohort Workshop NextProf workshop CODE OF CONDUCT & CONFERENCE GUIDELINES NAACL Conference Anti-Harassment Policy SIGPLAN Conference Code of Conduct Policy CRA-W guidelines for running an inclusive conference LOCAL MEETUPS WiML does not organize local meetups. However, WiMLDS, another organization does! Check them out at their website or Twitter . FUNDING OPPORTUNITIES Google Travel and Conference Grants L'Oreal USA For Women in Science Fellowship GENDER BIAS Avoiding gender bias in reference writing Gender bias calculator CONFERENCE TIPS “Nine things I wish I had known the first time I came to NIPS ” by Jennifer Wortman Vaughan, WiML co-founder AWARD OPPORTUNITIES CRA-W awards ACM Athena Lecturer award OTHER DIVERSITY GROUPS Women in Computer Vision Widening NLP Black in AI LatinX in AI Queer in AI

< Back 2nd WiML Mentoring Program for PhD Applications: Panel on Fellowship Applications Virtual This event, part of the WiML’s 2022-2023 Mentorship Program on the theme of PhD applications, takes place 9-10am PT in Zoom. Previous Next

< Back Love Allen Chijioke Ahakonye Senior Researcher at Kumoh National Institute of Technology WiML Mentorship Program 3rd WiML Mentorship: PhD Applications, 2023–2024 Dr. Love Allen Chijioke Ahakonye is a Research Fellow at the ICT-Convergence Research Center, Kumoh National Institute of Technology, South Korea. Her research lies at the nexus of artificial intelligence (AI), cybersecurity, and the Internet of Things (IoT), with emphasis on securing critical infrastructures such as SCADA. She develops AI-driven intrusion and anomaly detection frameworks for IoT and Industrial IoT (IIoT) networks, integrating cutting edge technologies like Blockchain. Her recent work extends to Explainable AI (XAI), focusing on model interpretability in intrusion detection systems. With over 70 publications and 8,000+ citations, Dr. Ahakonye significantly advances secure, reliable, and interpretable AI for intelligent networked systems. What was your favorite part about serving as a WiML Mentor? "The most rewarding part of mentoring in Machine Learning is empowering emerging researchers, especially women, to excel in data-driven technologies. It fosters expertise, critical thinking, and continuous learning while challenging gender barriers. Seeing mentees grow into independent innovators tackling real-world problems and contributing to an inclusive, diverse AI research community is deeply fulfilling." Previous Next