Data Engineering as a Scientific Tool
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Data Engineering as a Scientific Tool
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In this episode, host Peter Wang is joined by Dr. Patrick Kavanagh, an astrophysicist and software developer at the Dublin Institute for Advanced Studies. Patrick works on the James Webb Space Telescope (JWST), helping to write code that allows scientists to interpret the raw data they receive from space.
Patrick talks to Peter about cleaning telescope data sets to make them more scientifically useful, and more. Patrick's team working on the Mid-Infrared Instrument on the JWST writes software in Python to help deliver science-ready data to astronomers and astrophysicists. Patrick's work facilitates more precise study of distant stars and galaxies in a way that fosters public trust.
Peter Wang - https://www.linkedin.com/in/pzwang/
Dublin Institute for Advanced Studies - https://www.linkedin.com/school/dublin-institute-for-advanced-studies/
James Webb Space Telescope - https://webb.nasa.gov/
Check out these relevant resources:
- Dr. Patrick Kavanagh - EuroPython
- Python and James Webb
- Judy Schmidt (citizen scientist)
If you enjoyed today's show, please leave a 5-star review. For more information, visit anaconda.com/podcast.
#Computing #AI #Data #DataScience #Analytics
