23 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
    • 4.9, 27 Ratings

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.

    Manisha Desai | The Importance of Data Integrity in COVID-19 Clinical Trials

    Manisha Desai | The Importance of Data Integrity in COVID-19 Clinical Trials

    Manisha Desai, professor of medicine and biomedical data science at Stanford University, shares some insights about the challenges and progress of current COVID-19 clinical trials.

    • 38 min
    Newsha Ajami | Improving Urban Water Systems Through Data Science, Public Policy and Engineering

    Newsha Ajami | Improving Urban Water Systems Through Data Science, Public Policy and Engineering

    Newsha Ajami, director of Urban Water Policy with Stanford University’s Water in the West, focuses on improving urban water systems through interdisciplinary research combining data science, engineering and public policy.

    • 33 min
    Andrea Gagliano | The Intersection of Arts and Technology

    Andrea Gagliano | The Intersection of Arts and Technology

    Andrea Gagliano, Head of Data Science, AI and Machine Learning at Getty Images, works at the intersection of art and technology — using machine learning to inspire creativity, and the arts to comprehend technology.

    • 31 min
    Ya Xu | Using Data To Create Economic Opportunities For All Members Of Global Workforce

    Ya Xu | Using Data To Create Economic Opportunities For All Members Of Global Workforce

    Ya Xu, head of LinkedIn’s global data science team, explains how the company takes responsibility for data privacy and creating economic opportunities for all of its members.

    • 40 min
    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

Customer Reviews

4.9 out of 5
27 Ratings

27 Ratings

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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