Tune in, and get inspired

Data science is improving outcomes in a wide range of domains, from healthcare to seismology to human rights and more. Hear from women across the data science profession, as they share their career highlights, advice, and lessons learned along the way. More episodes coming soon.
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The WiDS podcast is brought to you by the Stanford Institute for Computational & Mathematical Engineering (ICME) and the Stanford School of Engineering. Generous support for this podcast and other Women in Data Science initiatives has been provided by Intuit, Microsoft, SAP, Walmart Labs, and Western Digital.

Jennifer Chayes
Microsoft Research

Technical fellow and managing director at Microsoft Research New England, New York, and Toronto, believes data scientists should build algorithms with Fairness, Accountability, Transparency, and Ethics – or FATE.

Janet George
​Western Digital
From manufacturing to product development, Western Digital’s chief data officer discusses how data science plays an important role in the storage industry.

Caitlin Smallwood
​Netflix

Caitlin Smallwood, vice president of science and algorithms at Netflix, believes data science and storytelling can be used to broaden our cultural understanding.

Eileen Martin
Virginia Tech
A Stanford ICME alumnus and Assistant Professor of Mathematics at Virginia Tech explains how being open with other researchers and sharing ideas furthers the field.

Jennifer Widom
​Stanford University

Stanford School of Engineering Dean discusses the importance of interdisciplinary scholarship and the growing relationship between data and computer science.

Nilah Monnier Ioannidis
Stanford University
A PostDoc scholar in Stanford's Biomedical Data Science department advises to look for new experimental techniques to solve interesting math or computing problems.