Skip to main content

Authors - G

A-B-C-D-E-F-G-H-I-J-K-L-M-N-O-P-Q-R-S-T-U-V-W-X-Y-Z

Pauline Gagnon

Chris Gainor

Clive Gamble (with John Gowlett and Robin Dunbar)

Lynn Gamwell

Shan Gao

Marta Garcia-Matos (with Lluis Torner)

Dan Gardner

Martin Gardner

Evalyn Gates

Atul Gawande

Adam Gazzaley (with Larry Rosen)

James Geach

Henry Gee

Rose George

Sean Gerrish

Christopher Gerry (with Kimberley Bruno)

Masha Gessen

Susannah Gibson

Gerd Gigerenzer

George Gilder

Colin Gillespie

James Gillies

Malcolm Gladwell

James Gleick

Ian Glynn

Laurie Godfrey (with Andrew Petto)

Ben Goldacre

Billy Goldberg (with Mark Leyner)

Alfred Scarf Goldhaber (with Robert Crease)

Noah Goldstein (with Steve Martin & Robert Cialdini)

Mike Goldsmith

Lawrence & Nancy Goldstone

Jeff Gomez

Laurence Gonzales

Jane Goodall

  • Hope for Animals and their World ****
  • Paul Goodwin

  • Something Doesn't Add Up: surviving statistics in a post-truth world ***
  • Michael Gordin

    Alan Goriely

    Elisabeth Gordon (with Laurent Keller)

    Angélica Gorodischer

    Richard Gott (with Michael Strauss and Neil de Grasse Tyson)

    Richard Gott

    John Gowlett (with Clive Gamble and Robin Dunbar)

    Francis Graham-Smith

    Ron Graham (with Persi Diaconis)

    John Grant

    Andrew Granville and Jennifer Granville

    Jeremy Gray

    Theodore Gray

    Kevin Grazier (with Stephen Cass)

    Brian Greene

    Kate Greene

    Samuel Greengard

    Pietro Greco

    Peter Grego

    Andrew Gregory

    Bruce Gregory

    Jane Gregory

    Richard Gregory

    Tim Gregory

    John Gribbin

    John Gribbin (with Mary Gribbin)

    Tom Griffiths (with Brian Christian)

    Tom Grimsey (with Peter Forbes)

    Frederick Grinnell

    Simon Guerrier (with Marek Kukula)

    Göran Grimvall

    Steven Gubser (with Frans Pretorius)

    Lee Gutkind


    Comments

    Popular posts from this blog

    Models of the Mind - Grace Lindsay *****

    This is a remarkable book. When Ernest Rutherford made his infamous remark about science being either physics or stamp collecting, it was, of course, an exaggeration. Yet it was based on a point - biology in particular was primarily about collecting information on what happened rather than explaining at a fundamental level why it happened. This book shows how biologists, in collaboration with physicists, mathematicians and computer scientists, have moved on the science of the brain to model some of its underlying mechanisms. Grace Lindsay is careful to emphasise the very real difference between physical and biological problems. Most systems studied by physics are a lot simpler than biological systems, making it easier to make effective mathematical and computational models. But despite this, huge progress has been made drawing on tools and techniques developed for physics and computing to get a better picture of the mechanisms of the brain. In the book we see this from two directions

    The Ten Equations that Rule the World - David Sumpter ****

    David Sumpter makes it clear in this book that a couple of handfuls of equations have a huge influence on our everyday lives. I needed an equation too to give this book a star rating - I’ve never had one where there was such a divergence of feeling about it. I wanted to give it five stars for the exposition of the power and importance of these equations and just two stars for an aspect of the way that Sumpter did it. The fact that the outcome of applying my star balancing equation was four stars emphasises how good the content is. What we have here is ten key equations from applied mathematics. (Strictly, nine, as the tenth isn’t really an equation, it’s the programmer’s favourite ‘If… then…’ - though as a programmer I was always more an ‘If… then… else…’ fan.) Those equations range from the magnificent one behind Bayesian statistics and the predictive power of logistic regression to the method of determining confidence intervals and the kind of influencer matrix so beloved of social m

    Grace Lindsay - Four Way Interview

    Grace Lindsay is a computational neuroscientist currently based at University College, London. She completed her PhD at the Centre for Theoretical Neuroscience at Columbia University, where her research focused on building mathematical models of how the brain controls its own sensory processing. Before that, she earned a bachelor’s degree in Neuroscience from the University of Pittsburgh and received a research fellowship to study at the Bernstein Center for Computational Neuroscience in Freiburg, Germany. She was awarded a Google PhD Fellowship in Computational Neuroscience in 2016 and has spoken at several international conferences. She is also the producer and co-host of Unsupervised Thinking , a podcast covering topics in neuroscience and artificial intelligence. Her first book is Models of the Mind . Why science? I started my undergraduate degree as a neuroscience and philosophy double major and I think what drew me to both topics was the idea that if we just think rigorously enou