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Tune in, and get inspired with WiDS

Get to know the women behind the data science. Leading women in data science share their work, advice, and lessons learned. Hear about how data science is being applied and having impact across a wide range of domains. Join hosts Margot Gerritsen and Chisoo Lyons in the open and informal conversations with our many inspiring guests.

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  • Cover Photo for The Power of Linguistics in Large Language Models and AI

    Episode 51

    Karin Golde | The Power of Linguistics in Large Language Models and AI

    Listen to Karin Golde, a linguistic expert and AI entrepreneur, as she discusses the rise of large language models (LLMs) and the impact of ChatGPT. Karin reflects on the unexpected popularity of LLMs and the role of OpenAI. The challenges and limitations of LLMs are discussed, including the need for human understanding emphasizing the need for diverse perspectives and cultural understanding in AI development. Karin shares her personal experience of using LLMs and highlights the importance of balancing innovation with regulation in the AI industry. Karin concludes the podcast sharing about her career journey and her recent transition to working as an independent consultant. She offers advice for women considering leadership roles and emphasizes the importance of thinking broadly about one’s place in an organization.

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  • Cover Photo for Researching Algorithmic Fairness and Causal Inference in Public Health

    Episode 33

    Allison Koenecke | Researching Algorithmic Fairness and Causal Inference in Public Health

    Allison Koenecke, currently a postdoc at Microsoft Research and soon to be assistant professor at Cornell, discusses her decision to pursue a career in academia focused on algorithmic fairness and causal inference in public health.

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  • Cover Photo for Building Bridges Between Business and Academia

    Episode 32

    Karina Edmonds | Building Bridges Between Business and Academia

    Karina Edmonds, Global Head of Academies and University Alliances at SAP, has spent her career building bridges between business and academia. She is passionate about promoting fairness in data science by bringing more young people, women, and underrepresented groups into the field.

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  • Cover Photo for Applying Machine Learning to Understand and Improve Health

    Episode 13

    Marzyeh Ghassemi | 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.

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EP. 6
English
Megan Price |

Data Science and the Fight for Human Rights

TOPICS: Algorithms, Data Generation/Collection

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.

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EP. 5
English
Nila Monnier Ioannidis Eileen Martin |

Data in Seismology and Genomics Research

TOPICS: Data Generation/Collection

Finding new ways to collect data – and a willingness to share it – are the hallmarks of a career in academia, according to Eileen Martin and Nila Monnier Ioannidis, when they were at Stanford, as a PhD student and postdoc, respectively. Now, Eileen is an Assistant Professor at Virginia Tech, moving to become an Assistant Professor at Colorado School of Mines in January 2022. Nila is an Assistant Professor at UC Berkeley.

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EP. 4
English
Janet George |

The Multifaceted World of Data Storage

TOPICS: Algorithms, Data Science as a Career, Foundations (Mathematics/Statistics)

Janet George spoke to us when she was Western Digital’s chief data officer and first female Fellow. In this episode Janet explains that from manufacturing to product development, data science plays an important role in the storage industry. Janet is now the Group Vice President, Autonomous Enterprise, Advanced Analytics, Machine Learning & Artificial Intelligence at Oracle.

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EP. 3
English
Jennifer Widom |

Math, Computers, & Music

TOPICS: Data Science as a Career

Dean Jennifer Widom has seen computer science–and data science– evolve from a narrow, specialized field into an interdisciplinary field that touches on broad swaths of society and is capable of solving important global problems.

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EP. 2
English
Caitlin Smallwood |

Data-Driven Video Content

TOPICS: Algorithms, Data Science as a Career

Caitlin Smallwood spoke to us when she was VP and Head of Data Science and Insights at Netflix. In this episode, she discusses the future of storytelling.

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EP. 1
English
Jennifer Chayes |

Eliminating Bias

TOPICS: Algorithms, Data Science as a Career

Jennifer Chayes, spoke to us when she was a technical fellow and managing director at Microsoft Research. She believes data scientists should build algorithms with Fairness, Accountability, Transparency, and Ethics – or FATE. Jennifer now serves as Associate Provost and Dean at the University of California at Berkeley (UCB).

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EP. Bonus
English
Margot Gerritsen |

How to Get More Women Into Data Science

TOPICS: Data Science as a Career, Values

Women face many roadblocks to careers in data science and other STEM disciplines. One Stanford professor is out to change perceptions and realities for women in these fields.

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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).

Chisoo Lyons

Chisoo was born in South Korea and grew up living in Indonesia, Germany, and Jordan, before moving to the US. She attended University of California Berkeley and received a bachelor’s degree in Industrial Engineering & Operations Research and continued with her master’s focusing on Operations Research. Living in different parts of the world cultivated her ever-present curiosity about people and cultures. Chisoo worked for FICO, a global analytic and decision management company, applying data science to developing, consulting, and implementing decision support solutions for her clients. Her corporate career culminated in leadership roles managing innovation and lines of business. Now, as the Chief Program Director of Women in Data Science, Chisoo is thrilled to be in service of a global community of amazing women doing extraordinary work in the field of data science.

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