25 épisodes

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

    • Cours
    • 5.0 • 1 note

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.

    Femke Vossepoel | Applying Data Assimilation Tools to COVID Forecasting Models

    Femke Vossepoel | Applying Data Assimilation Tools to COVID Forecasting Models

    Femke Vossepoel, Professor in Geoscience and Engineering at Delft University of Technology in the Netherlands, explains how data assimilation tools can be used to improve COVID-19 forecasting models.

    • 39 min
    Francesca Dominici + Rachel Nethery | Using Data Science to Study Air Pollution Effect on COVID-19 Outcomes

    Francesca Dominici + Rachel Nethery | Using Data Science to Study Air Pollution Effect on COVID-19 Outcomes

    Francesca Dominici and Rachel Nethery, from Harvard University’s T.H. Chan School of Public Health, are working to inform public health policy through research at the intersection of environmental health science, data science, climate change and health policy.

    • 34 min
    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

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