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Garnet Chan appreciates a good challenge. A Caltech theorist who works at the interface of theoretical chemistry, condensed matter physics, and quantum information theory, Chan says he is drawn to scientific problems that have long resisted theoretical study.
Machine learning seems ubiquitous these days. The technique—which allows computers to automatically convert data into knowledge and action—is being used to train everything from internet search engines and self-driving cars to facial recognition systems and voice assistants such as Siri.
Since its public launch in April 2016, Break Through: The Caltech Campaign has broken Institute fundraising records. While Break Through looks to secure Caltech’s future as a source of discovery for the world, the campaign already is making an imprint on campus and beyond by supporting Caltech people who are pursuing big questions and bold ideas.