Latest Episode: Applying Data Science for the Public Good in LebanonFatima Abu Salem, a professor at the American University of Beirut, talks about how the conflict in the region has shaped her life journey and motivates her to apply data science for the public good to address challenges in Lebanon.
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Tune in, and get inspiredLeading women in data science share their work, advice, and lessons learned along the way with Professor Margot Gerritsen from Stanford University. Hear about how data science is being applied and having impact across a wide range of domains, from healthcare to finance to cosmology to human rights and more.
Listen and Subscribe to the WiDS Podcast on Apple Podcasts, Google Podcasts, Spotify, Stitcher, and Overcast.
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About the Host:Professor Margot GerritsenMargot Gerritsen was born and raised in the Netherlands, and after getting her PhD at Stanford, she.spent time in New Zealand in the Department of Engineering Science at the University of Auckland, returning to Stanford in 2001 as faculty member in Energy Resources Engineering. Margot specializes in the development of computational methods for renewable and fossil energy production. She is also active in coastal ocean dynamics and yacht design, as well as several other areas in computational mathematics including search algorithm design and matrix computations. Margot also Chairs the Board of Trustees for SIAM (Society for Industrial and Applied Mathematics). |
Advocating for Diversity, Inclusion, and Ethics in AITimnit Gebru, formerly a research scientist and technical co-lead of Google's Ethical Artificial Intelligence Team, explains the importance of advocating for diversity, inclusion
and ethics in AI. |
Aerobatic Pilot, Author, and Data ScientistCecilia Aragon, a professor in the Department of Human Centered Design & Engineering at the University of Washington in Seattle, explains how overcoming her fears to become an aerobatic pilot propelled her forward in her career as a data scientist, professor, and author.
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Using Data to Create Economic Opportunities for all Members of Global WorkforceYa Xu, head of LinkedIn’s global data science team, explains how the company takes responsibility for data privacy and creating economic opportunities for all of its members.
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Using Human-Centric Data Science
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Improving Urban Water Systems Through Data Science, Public Policy and EngineeringNewsha Ajami, director of Urban Water Policy with Stanford University's Water in the West, focuses on improving urban water systems through interdisciplinary research combining data science, engineering and public policy.
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Applying Machine Learning to Understand and Improve HealthMarzyeh Ghassemi, an assistant professor at the University of Toronto, is focused on Healthy ML--applying machine learning to understand and improve health.
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Using Data Science to Keep Financial Data SecureShir Meir Lador, data science team lead at Intuit in Israel, develops machine learning models for security, risk and fraud in products like Quickbooks, Turbo Tax and Mint.
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Bringing an Economics Perspective to Data ScienceSusan Athey, Economics of Technology Professor at the Stanford Graduate School of Business, brings an economist's expertise and perspective to machine learning and data science.
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Applying Statistics to Promote Fairness and TransparencyKristian Lum, a statistician and former research assistant professor at the University of Pennsylvania, describes how following her interests has led her on an ever-changing career path across business, public service, and academia.
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DownloadsOVER
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