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  2. Sean M. Carroll - Wikipedia

    en.wikipedia.org/wiki/Sean_M._Carroll

    Sean Michael Carroll (born October 5, 1966) is an American theoretical physicist who specializes in quantum mechanics, cosmology, and the philosophy of science. He is the Homewood Professor of Natural Philosophy at Johns Hopkins University .

  3. The Biggest Ideas in the Universe - Wikipedia

    en.wikipedia.org/wiki/The_Biggest_Ideas_in_the...

    Julia M. Klein of Johns Hopkins Magazine wrote, "There's nothing small about Johns Hopkins physicist Sean Carroll's latest undertaking. The Biggest Ideas in the Universe: Space, Time, and Motion is the first volume in an ambitious trilogy that seeks to explain physics to a popular audience—one willing to grapple with the basics of calculus and other mathematical underpinnings of the field.

  4. Sean B. Carroll - Wikipedia

    en.wikipedia.org/wiki/Sean_B._Carroll

    Sean B. Carroll (born September 17, 1960) is an American evolutionary developmental biologist, author, educator and executive producer. He is a distinguished university professor at the University of Maryland and professor emeritus of molecular biology and genetics at the University of Wisconsin–Madison .

  5. Endless Forms Most Beautiful (book) - Wikipedia

    en.wikipedia.org/wiki/Endless_Forms_Most...

    Endless Forms Most Beautiful: The New Science of Evo Devo and the Making of the Animal Kingdom is a 2005 book by the molecular biologist Sean B. Carroll. It presents a summary of the emerging field of evolutionary developmental biology and the role of toolkit genes. It has won numerous awards for science communication.

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  7. The Big Picture (Carroll book) - Wikipedia

    en.wikipedia.org/wiki/The_Big_Picture_(Carroll_book)

    Science is a rigorous method of finding what is true or false, while poetic naturalism encourages extending the conversation to include contemplation into what is right and wrong. [7] It integrates scientific reasoning methods into our personal purpose-seeking and meaning-making, with an emphasis on Bayesian techniques.

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