WiDS Podcast

Latest Episode:
​Advocating for Indigenous Data Sovereignty

Tahu Kukutai, a Māori woman, and Professor at the University of Waikato at NIDEA (National Institute of Demographic and Economic Analysis), discusses the importance of data ownership, guardianship and governance to protect the rights of Indigenous people. governance.

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Tune in, and get inspired

Leading 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. 

WiDS Podcast Hosts:

Professor Margot Gerritsen

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 Chairs the Board of Trustees for SIAM (Society for Industrial and Applied Mathematics). 

Cindy Orozco Bohorquez

Cindy is an applied mathematician with experience in numerical modeling, data science, optimization, and parallel computing. She is originally from Colombia, where she did a bachelor's in civil engineering and mathematics from King Abdullah University of Science and Technology, in Saudi Arabia, and a Ph.D. in Computational and Mathematical Engineering from ICME at Stanford. She is passionate about teaching data science to a broad audience, including low-income Colombian high school students and decision-makers from Silicon Valley. She loves the support and camaraderie in the WiDS community. She works as a machine learning solutions engineer at Cerebras Systems.

Featured WiDS Podcast Episodes

Advocating for Diversity, Inclusion, and Ethics in AI

Timnit 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 Scientist

Cecilia 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.

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.

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.

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.

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.

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.

Bringing an Economics 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.

Applying Statistics to Promote Fairness and Transparency

Kristian 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.

"I started listening to this podcast recently and am totally captivated. As someone attempting to begin a career in data science, I find the range of topics covered inspiring in terms of helping me build awareness of the many different ways data science can be applied...I can't wait to hear more!"

-- Boggle Queen, Apple Podcast Review

All Episodes:

• Tahu Kukutai | Advocating for indigenous data sovereignty
• Allison Koenecke | Researching algorithmic fairness and causal inference in public health
• Karina Edmonds | Building bridges between business and academia
• Fatima Abu Salem | Applying Data Science for the Public Good in Lebanon
• Louvere Walker-Hannon | Gaining skills and overcoming barriers to a career in data science
• Menglin Cao | Data science in fintech and financial services
• Karen Hao | Covering AI and Ethics Washing in the Tech Industry
• Cecilia Aragon | Aerobatic Pilot, Author and Data Scientist
• Kristian Lum | Applying Statistics to Promote Fairness and Transparency
• Lillian Carrasquillo | Using Human-Centric Data Science at Spotify
• Femke Vossepoel | Applying Data Assimilation Tools to COVID Forecasting Models
• Francesca Dominici + Rachel Nethery | Using Data Science to Study Air Pollution Effect on COVID-19 Outcomes
• Manisha Desai | The Importance of Data Integrity in COVID-19 Clinical Trials
• Newsha Ajami | Improving Urban Water Systems Through Data Science, Public Policy and Engineering
• Andrea Gagliano | The Intersection of Arts and Technology
• Ya Xu | Using Data To Create Economic Opportunities For All Members Of Global Workforce
• Susan Athey | Bringing an Economist’s Perspective to Data Science
• Montse Medina | Lessons Learned Building a Data Science Startup
• Bonus Episode: Margot Gerritsen | How to Get More Women Into Data Science
• Timnit Gebru | Advocating for Diversity, Inclusion and Ethics in AI
• Christiane Kamdem + Lama Moussawi | WiDS Ambassadors Bring Education and Role Models to their Communities
• Sherrie Wang | Applying Machine Learning to Solve Global Food Security Challenges
• Marzyeh Ghassemi | Applying Machine Learning to Understand and Improve Health
• Shir Meir Lador | Using Data Science to Keep Financial Data Secure
• Natalie Evans Harris | Creating A Shared Code Of Ethics To Guide Ethical and Responsible Use of Data
• Meltem Ballan | Mission Impossible, Fingerprint Recognition, and Connected Cars
• Chiara Sabatti | Algorithms and the Human Genome
• Elena Grewal | From Education to Head of Airbnb Data Science
• Sonu Durgia | Optimizing the Online Shopping Experience
• Megan Price | Data Science and the Fight for Human Rights
• Eileen Martin + Nilah Monnier Ioannidis | Data in Seismology and Genomics Research
• Janet George | The Multifaceted World of Data Storage
• Jennifer Widom | Math, Computers, & Music
• Caitlin Smallwood | Data-Driven Video Content
• Jennifer Chayes | Eliminating Bias

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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.

Made possible by the WiDS Global Visionary Sponsors: