Episode 33
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.
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Episode 32
Karina Edmonds | Building Bridges Between Business and Academia
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Episode 13
Marzyeh Ghassemi | Applying Machine Learning to Understand and Improve Health
Filters
EP. 28
English
Karen Hao, Senior Editor at MIT Technology Review, discusses her experiences covering the latest research and social impacts of AI, and ethics washing in the tech industry.
EP. 27
English
TOPICS: Data Science as a Career
Cecilia Aragon, a professor in the Department of Human Centered Design & Engineering at the University of Washington in Seattle, explains how overcoming her fears to become an aerobatic pilot propelled her forward in her career as a data scientist, professor, and author.
EP. 26
English
TOPICS: Data Science as a Career, Values
Kristian Lum, a statistician and former research assistant professor at the University of Pennsylvania, describes how following her interests has led her on an ever-changing career path across business, public service, and academia.
EP. 25
English
TOPICS: Algorithms, Data Generation/Collection
Lillian Carrasquillo, Insights Manager for Spotify’s Personalized Home team, explains how Spotify uses human-centric data science to create meaningful experiences for their listeners and creators.
EP. 24
English
TOPICS: Algorithms, Data Generation/Collection, Data Wrangling
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.
EP. 23
English
Rachel Nethery Francesca Dominici |
Using Data Science to Study Air Pollution Effect on COVID-19 Outcomes
TOPICS: Data Generation/Collection, Data Science as a Career
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.
EP. 22
English
TOPICS: Data Generation/Collection, Data Wrangling
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.
EP. 21
English
TOPICS: Algorithms, Data Generation/Collection
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.
EP. 20
English
TOPICS: Algorithms, Data Generation/Collection
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.
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.