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- Sarah Aerni, PhD | WiML
< Back Sarah Aerni, PhD WiML Director (2021-2023) Visit my Profile
- Resources | WiML
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
- Barbara Engelhardt, PhD | WiML
< Back Barbara Engelhardt, PhD WiML Director (2013-2016)
- Love Allen Chijioke Ahakonye | WiML
< Back Love Allen Chijioke Ahakonye Senior Researcher at Kumoh National Institute of Technology 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. Previous Next
- Sinead Williamson, PhD | WiML
< Back Sinead Williamson, PhD WiML Director (2015-2018, 2020-2021)
- Jessica Thompson, PhD | WiML
< Back Jessica Thompson, PhD WiML Secretary (2018-2020), Director (2016-2017) Visit my Profile
- Inmar Givoni, PhD | WiML
< Back Inmar Givoni, PhD WiML Secretary (2009-2012) Visit my Profile
- Catherine Wah, PhD | WiML
< Back Catherine Wah, PhD WiML Director (2022-2024)
- Diane Oyen, PhD | WiML
< Back Diane Oyen, PhD WiML Director Visit my Profile
- Christina Papadimitriou | WiML
< Back Christina Papadimitriou WiML Director (2021-2025) Visit my Profile
- Been Kim, PhD | WiML
< Back Been Kim, PhD WiML Vice President of Research & Policy (2019-2020), Director (2016-2018) Visit my Profile
- Raia Hadsell, PhD | WiML
< Back Raia Hadsell, PhD WiML Director (2017-2021) Visit my Profile












