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.
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.
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.
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.
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.
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.
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.
Understandable and educative
I am currently working with data science teams so I wanted to understand the field better. This podcast is easy to understand even without a data science background, and gives you an interesting introduction. I like the moderator and her choice of guests invited, very driven and inspiring women who are world class in their fields. The women part is a plus, but the podcast is definitely suitable for no matter which gender.