

Data Science and AI for COVID-19 with Professor James Zou and Dr. Irena Fisher-Hwang
May 13, 2020
Professor James Zou, a machine learning expert from Stanford, teams up with Dr. Irena Fisher-Hwang, a bioinformatics researcher, to discuss their innovative course on Data Science and AI for COVID-19. They delve into how interdisciplinary approaches are vital for tackling pandemic challenges, highlighting student projects that fight misinformation. They also reflect on the swift transition to online learning, sharing insights on resilience and the collaborative spirit that emerged during this time. Their discussion emphasizes the transformative potential of combining academia and journalism.
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COVID-19 Research
- James Zou's research group works on machine learning applications in healthcare and biotechnology.
- They have been increasingly working on COVID-related projects.
Educational Resources
- Create educational materials about COVID-19 for data scientists and AI researchers.
- Make these materials available online, such as on YouTube.
Initial Shelter-in-Place Experience
- During the initial weeks of shelter-in-place orders, there was a sense of uncertainty and confusion.
- Irena Fisher-Hwang found it helpful to attend the lectures and gain a high-level overview of the problems related to COVID-19.