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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. 33
English
Allison Koenecke |

Researching Algorithmic Fairness and Causal Inference in Public Health

TOPICS: Data Science as a Career, Featured, Values

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.

Listen Now
EP. 32
English
Karina Edmonds |

Building Bridges Between Business and Academia

TOPICS: Data Science as a Career, Featured, Values

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.

Listen Now
EP. 31
English
Fatima Abu Salem |

Applying Data Science for the Public Good in Lebanon

TOPICS: Data Science as a Career, Values

Fatima Abu Salem, a professor at the American University of Beirut, talks about how the conflict in the region has shaped her life journey and motivates her to apply data science for the public good to address challenges in Lebanon.​

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EP. 30
English
Louvere Walker-Hannon |

Gaining Skills and Overcoming Barriers to a Career in Data Science

TOPICS: Data Science as a Career

Louvere Walker-Hannon, Application Engineering Team Leader at MathWorks, teacher and STEM Ambassador, talks about acquiring skills and overcoming barriers to work in data science.

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EP. 29
English
Menglin Cao |

Data Science in Fintech and Financial Services

TOPICS: Data Generation/Collection, Data Science as a Career

Menglin Cao, Senior VP and Head of AI and NLP Model Development at Wells Fargo, discusses the central role of data science in fintech and financial services, and best practices for success.

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EP. 28
English
Karen Hao |

Covering AI and Ethics Washing in the Tech Industry

TOPICS: Values

Karen 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.

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EP. 27
English
Cecilia Aragon |

Aerobatic Pilot, Author and Data Scientist

TOPICS: Data Science as a Career

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.

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EP. 26
English
Kristian Lum |

Applying Statistics to Promote Fairness and Transparency

TOPICS: Data Science as a Career, Values

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.

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EP. 25
English
Lillian Carrasquillo |

Using Human-Centric Data Science at Spotify

TOPICS: Algorithms, Data Generation/Collection

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.

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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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