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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 
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About the host: Professor Margot Gerritsen
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Margot 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 serves on the Board of Trustees of SIAM.
From 2010-2018, Margot was the Director of the Institute for Computational Mathematics & Engineering. In ICME, she built a MS program in data science and co-founded WiDS in 2015. She is also the Senior Associate Dean for Educational Affairs in the School of Earth, Energy & Environmental Sciences. |
WiDS Podcast Episodes:
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Susan Athey, Stanford Graduate School of Business | Bringing an Economist's 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. Hear a preview below, or listen to the episode now.
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Montse Medina, Deloitte Espana | Lessons Learned Building a Data Science StartupMontse Medina, a successful data science entrepreneur, is currently a partner at Deloitte in Spain responsible for the firm’s advanced analytics and asset-enabled business. Hear a preview below, or listen to the episode now.
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Bonus Episode: Margot Gerritsen | How to Get More Women Into Data ScienceWomen face many roadblocks to careers in data science and other STEM disciplines. One Stanford professor, Margot Gerritsen, is out to change perceptions and realities for women in these fields. Hear a preview below, or listen to the episode now.
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Timnit Gebru, Google | Advocating for Diversity, Inclusion and Ethics in AITimnit Gebru, 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. Hear a preview below, or listen to the episode now.
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Lama Moussawi, the American University of Beirut (AUB) | WiDS Ambassadors Bring Education and Role Models to their CommunitiesLama Moussawi, WiDS Beirut ambassador and Associate Professor at AUB, discusses the importance of role models, mentors and giving back to empower women and girls to pursue data science careers. Hear a preview below, or listen to the episode now.
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Christiane Kamdem, Total | WiDS Ambassadors Bring Education and Role Models to their CommunitiesChristiane Kamdem, a native of Cameroon and WiDS Ambassador in Paris, discusses the importance of role models, mentors and giving back to empower women and girls to pursue data science careers. Hear a preview below, or listen to the episode now.
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Sherrie Wang, Stanford ICME | Applying Machine Learning to Solve Global Food Security ChallengesSherrie Wang, a fourth year PhD student at Stanford ICME, explains how she applies machine learning methods to help solve global food security challenges. Hear a preview below, or listen to the episode now.
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Marzyeh Ghassemi, University of Toronto | 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. Hear a preview below, or listen to the episode now.
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Shir Meir Lador, Intuit Israel | 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. Hear a preview below, or listen to the episode now.
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Natalie Evans Harris, BrightHive | Creating A Shared Code Of Ethics To Guide Ethical and Responsible Use of DataNatalie Evans Harris, a leader on ethical and responsible use of data, explains how building trust through a shared vision and data “code of ethics” is essential to promote both innovation and privacy. Hear a preview below, or listen to the episode now.
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Meltem Ballan, GM | Mission Impossible, Fingerprint Recognition, and Connected CarsMeltem Ballan, a data scientist working on Connected Cars at General Motors, explains how data science is transforming the automotive industry. Hear a preview below, or listen to the episode now.
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Elena Grewal, Airbnb | From Education to Head of Airbnb Data ScienceElena Grewal, Airbnb’s chief data scientist, shares her nonlinear career journey and discusses the importance of grit and pursuing challenges in your career and data science. Hear a preview below, or listen to the episode now.
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Megan Price, HRDAG | Data Science and the Fight for Human RightsThe executive director of the Human Rights Data Analysis Group (HRDAG) discusses how data science is being used to combat injustices in Central America and the Middle East. Hear a preview below, or listen to the episode now.
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Nilah Monnier Ioannidis, Stanford University | Data in Seismology and Genomics ResearchNilah Monnier Ioannidis, a PostDoc scholar in Stanford's Biomedical Data Science department, advises to look for new experimental techniques to solve interesting math or computing problems. Hear a preview below, or listen to the episode now.
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Eileen Martin, Virginia Tech | Data in Seismology and Genomics ResearchEileen Martin, Stanford ICME alumnus and Assistant Professor of Mathematics at Virginia Tech, explains how being open with other researchers and sharing ideas furthers the field. Hear a preview below, or listen to the episode now.
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Janet George, Western Digital | The Multifaceted World of Data StorageFrom manufacturing to product development, Western Digital’s chief data officer Janet George discusses how data science plays an important role in the storage industry. Hear a preview below, or listen to the episode now.
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Jennifer Widom, Stanford University | Math, Computers, and MusicJennifer Widom, Stanford School of Engineering Dean, discusses the importance of interdisciplinary scholarship and the growing relationship between data and computer science. Hear a preview below, or listen to the episode now.
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Caitlin Smallwood, Netflix | Data-Driven Video ContentCaitlin Smallwood, vice president of science and algorithms at Netflix, believes data science and storytelling can be used to broaden our cultural understanding. Hear a preview below, or listen to the episode now.
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Jennifer Chayes, Microsoft Research | Eliminating BiasJennifer Chayes, a technical fellow and managing director at Microsoft Research believes data scientists should build algorithms with Fairness, Accountability, Transparency, and Ethics – or FATE. Hear a preview below, or listen to the episode now.
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Chiara Sabatti, Stanford University | Algorithms and the Human GenomeChiara Sabatti, professor of biomedical data science and of statistics at Stanford University, discusses trends in data science in genetics. Hear a preview below, or listen to the episode now.
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Sonu Durgia, Walmart Labs | Optimizing the Online Shopping ExperienceSonu Durgia, Walmart Labs group product manager, mines the store’s massive backlog of digital interactions to engineer a better e-commerce experience. Hear a preview below, or listen to the episode now.
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The WiDS Podcast has been named a top data science podcast by KD Nuggets, Analytics Vidhya, 365 Data Science, and Soshace.
The WiDS Podcast is a collaboration led by the Global WiDS team at Stanford, in the Stanford Institute for Computational & Mathematical Engineering (ICME) and the WiDS Podcast committee.
The WiDS Podcast is made possible by the following WiDS Global Innovation Sponsors:
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