19 episodes

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.

This 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.

Women in Data Science Professor Margot Gerritsen

    • Courses

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.

This 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.

    Susan Athey | Bringing an Economist’s Perspective to Data Science

    Susan Athey | Bringing an Economist’s 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.

    • 51 min
    Montse Medina | Lessons Learned Building a Data Science Startup

    Montse Medina | Lessons Learned Building a Data Science Startup

    Montse Medina, a successful data science entrepreneur, is currently a partner at Deloitte in Spain responsible for the firm’s advanced analytics and asset-enabled business.

    • 36 min
    Bonus Episode: Margot Gerritsen | How to Get More Women Into Data Science

    Bonus Episode: Margot Gerritsen | How to Get More Women Into Data Science

    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.

    • 28 min
    Timnit Gebru | Advocating for Diversity, Inclusion and Ethics in AI

    Timnit Gebru | Advocating for Diversity, Inclusion and Ethics in AI

    Timnit Gebru, 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.

    • 36 min
    Christiane Kamdem + Lama Moussawi | WiDS Ambassadors Bring Education and Role Models to their Communities

    Christiane Kamdem + Lama Moussawi | WiDS Ambassadors Bring Education and Role Models to their Communities

    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.

    • 30 min
    Sherrie Wang | Applying Machine Learning to Solve Global Food Security Challenges

    Sherrie Wang | Applying Machine Learning to Solve Global Food Security Challenges

    Sherrie Wang, 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.

    • 31 min

Customer Reviews

7es7y ,

Super inspiring!

I enjoyed all conversations and presentations on this podcast! It is super inspiring to get starting on data science as well as connecting with other women in the world !
Keep it up!!!

mctuck426 ,

Love this show!

This is a great listen. Inspiring work and wonderful advice about different paths to success and the importance of surrounding yourself with good people in academia. Thank you for sharing these stories!

Boggle Queen ,

I am absolutely loving this podcast

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. The host asks great probing and insightful questions and does an excellent job helping listeners understand each guest’s journey from first interest in the field to current position, along with some words of wisdom for folks like me for how to proceed. Overall these are fantastic interviews with wonderfully intelligent women and I can’t wait to hear more of them.

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