Katie Bouman
Computer Scientist | Computational Imaging Pioneer
About
Katie Bouman is a pioneering computer scientist whose algorithm was instrumental in capturing the first image of a black hole. As an assistant professor at Caltech, she develops new methods for computational imaging that push the limits of what's possible with cameras and sensors.
Bouman's TED talk on her black hole breakthrough has been viewed over 4 million times, inspiring audiences with the power of multidisciplinary teamwork and innovative thinking. Her keynotes reveal the creative problem-solving approaches needed to tackle ambitious scientific and technological challenges.
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How to take a picture of a black hole
At the heart of the Milky Way, there's a supermassive black hole that feeds off a spinning disk of hot gas, sucking up anything that ventures too close -- even light. We can't see it, but its event horizon casts a shadow, and an image of that shadow could help answer some important questions about the universe. Scientists used to think that making such an image would require a telescope the size of Earth -- until Katie Bouman and a team of astronomers came up with a clever alternative. Bouman explains how we can take a picture of the ultimate dark using the Event Horizon Telescope.
| Event | Year | Location |
|---|---|---|
| TEDxBeaconStreet 2016 | 2016 | 🇺🇸Brookline, United States |
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