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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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Karen Hao, MIT Technology Review | Covering AI and Ethics Washing in the Tech IndustryKaren Hao, Senior Editor at MIT Technology Review, discusses her experiences covering the latest research and social impacts of AI, and ethics washing in the tech industry. Hear a preview below, or listen to the episode now.
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Cecilia Aragon, University of Washington | 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. Hear a preview below, or listen to the episode now.
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Kristian Lum, University of Pennsylvania | Applying Statistics to Promote Fairness and TransparencyKristian Lum, a statistician and research assistant professor at the University of Pennsylvania, describes how following her interests has led her on an everchanging career path across business, public service, and academia. Hear a preview below, or listen to the episode now.
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Lillian Carrasquillo, Spotify | Using Human-Centric Data Science at Spotify
Lillian Carrasquillo, Insights Manager for Spotify’s Personalized Home team, explains how Spotify uses human-centric data science to create meaningful experiences for their listeners and creators. Hear a preview below, or listen to the episode now.
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Femke Vossepoel, TU Delft | Applying Data Assimilation Tools to COVID Forecasting Models
Femke Vossepoel, Professor in Geoscience and Engineering at Delft University of Technology in the Netherlands, explains how data assimilation tools can be used to improve COVID-19 forecasting models. Hear a preview below, or listen to the episode now.
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Francesca Dominici, Harvard | Using Data Science to Study Air Pollution Effect on COVID-19 Outcomes
Francesca Dominici, Clarence James Gamble Professor of Biostatistics at Harvard University’s T.H. Chan School of Public Health and Co-Director of Harvard Data Science Initiative, is working to inform public health policy through research at the intersection of environmental health science, data science, climate change and health policy. Hear a preview below, or listen to the episode now.
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Rachel Nethery, Harvard | Using Data Science to Study Air Pollution Effect on COVID-19 Outcomes
Rachel Nethery, Assistant Professor of Biostatistics at Harvard University’s T.H. Chan School of Public Health, is working to inform public health policy through research at the intersection of environmental health science, data science, climate change and health policy. Hear a preview below, or listen to the episode now.
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Manisha Desai, Stanford | The Importance of Data Integrity in COVID-19 Clinical Trials
Manisha Desai, professor of medicine and biomedical data science at Stanford University, shares some insights about the challenges and progress of current COVID-19 clinical trials. Hear a preview below, or listen to the episode now.
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Newsha Ajami, Stanford | Improving Urban Water Systems Through Data Science, Public Policy and Engineering
Newsha 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. Hear a preview below, or listen to the episode now.
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Andrea Gagliano, Getty Images | The Intersection of Arts and Technology
Andrea Gagliano, Head of Data Science, AI and Machine Learning at Getty Images, works at the intersection of art and technology — using machine learning to inspire creativity, and the arts to comprehend technology. Hear a preview below, or listen to the episode now.
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Ya Xu, LinkedIn | Using Data to Create Economic Opportunities for all Members of Global Workforce
Ya 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. Hear a preview below, or listen to the episode now.
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Susan Athey, Stanford Graduate School of Business | Bringing an Economist's Perspective to Data Science
Susan 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 Startup
Montse 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 Science
Women 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 AI
Timnit 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 Communities
Lama 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 Communities
Christiane 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 Challenges
Sherrie 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 Health
Marzyeh 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 Secure
Shir 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 Cars
Meltem 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 Science
Elena 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 Rights
The 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 Research
Nilah 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 Storage
From 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 Music
Jennifer 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 Content
Caitlin 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, Soshace and BuiltIn.
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 Visionary Sponsors:
