Skip to main content

Get Inspired | Podcasts

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.

Meet the Hosts
Subscribe
  • 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.

    Listen Now
  • 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.

    Listen Now
  • 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.

    Listen Now
  • 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.

    Listen Now
Filters 

  • Language

  • Topic(s)

  • Sort By

EP. 15
English
Christiane Kamdem Lama Moussawi |

WiDS Ambassadors Bring Education and Role Models to their Communities

TOPICS: Data Science as a Career, Values

Christiane Kamdem and Lama Moussawi discuss the importance of role models, mentors and giving back to empower women and girls to pursue data science careers.

Listen Now
EP. 14
English
Sherrie Wang |

Applying Machine Learning to Solve Global Food Security Challenges

TOPICS: Data Science as a Career

Sherrie Wang, spoke to us when she was a fourth year PhD student at Stanford’s Institute for Computational and Mathematical Engineering (ICME), explains how she applies machine learning methods to help solve global food security challenges. Sherrie has since completed her PhD, and is working as a postdoc at UC Berkeley, working on machine learning for sustainability.

Listen Now
EP. 13
English
Marzyeh Ghassemi |

Applying Machine Learning to Understand and Improve Health

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

Marzyeh Ghassemi, an assistant professor at the University of Toronto, is focused on Healthy ML—applying machine learning to understand and improve health.

Listen Now
EP. 12
English
Shir Meir Lador |

Using Data Science to Keep Financial Data Secure

TOPICS: Algorithms, Data Generation/Collection

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.

Listen Now
EP. 11
English
Natalie Evans Harris |

Creating A Shared Code Of Ethics To Guide Ethical and Responsible Use of Data

TOPICS: Values

Natalie 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.

Listen Now
EP. 10
English
Meltem Ballan |

Mission Impossible, Fingerprint Recognition, and Connected Cars

TOPICS: Data Science as a Career

When we spoke to Meltem Ballan, she was a data scientist working on Connected Cars at General Motors (GM). In this episode, she explains how data science is transforming the automotive industry.

Listen Now
EP. 9
English
Chiara Sabatti |

Algorithms and the Human Genome

TOPICS: Algorithms, Data Generation/Collection

Chiara Sabatti, professor of biomedical data science and of statistics at Stanford University, discusses trends in data science in genetics.

Listen Now
EP. 8
English
Elena Grewal |

From Education to Head of Airbnb Data Science

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

We spoke to Elena Grewal when she was Airbnb’s head of data science, where she discovered the key to making successful career jumps: “Often it’s more about words being different than about skills being different”. Elena founded and runs Data 2 the People, a community of data scientists working on projects for the public good.

Listen Now
EP. 7
English
Sonu Durgia |

Optimizing the Online Shopping Experience

TOPICS: Algorithms, Data Generation/Collection

Sonu Durgia spoke to us when she was at Walmart Labs where she mined the store’s massive backlog of digital interactions to engineer a better e-commerce experience for customers. She now works at Facebook AI as a product leader in their Responsible AI group.

Listen Now

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.

Stream the Podcast