Skip to main content

Romeel Davé - Five Way Interview

Romeel Davé holds the Chair of Physics at the University of Edinburgh.  Born in California, he got his bachelor’s from U.C. Berkeley, MSc from Caltech, and PhD from U.C. Santa Cruz in 1998.  He was a professor in Tucson and Cape Town before coming to Edinburgh in 2017.   He is a leading researcher in using supercomputer simulations to better understand the formation of galaxies, their co-evolution with surrounding gas, and the nature of dark matter and dark energy.  Simulating the Cosmos is his first popular science book.

Why science?

My favorite game growing up was Clue.  I’ve always enjoyed piecing together evidence to solve a mystery.  Science is basically just a big detective game -- the Universe leaves you a bunch of random clues, and you have to tease out the underlying perpetrator.  It’s good fun, and as a bonus it’s gratifying to be part of humanity’s never-ending quest to push the frontiers of knowledge.

Why this book?

Many people view science as grand proclamations from a cabal of eggheads in white coats. But as scientists our day-to-day work is almost the polar opposite - a semi-blind stumble through a maze of wrong turns and dead ends.  I wanted to show how simulators like myself spend their days reasoning through roadblocks, designing and running numerical experiments, learning new skills as unexpectedly needed, and fighting through the daily frustrations of failure.  I wanted to show that despite all this, we inch ever closer towards answering some of humanity’s deepest questions.  This book was my homage to this scientific journey, as told through the twisting story of the development of cosmological simulations. 

Do you think simulations tend to be viewed as the poor cousin of science?

When I started my career, that was definitely true.  Now the situation is very different.  Not just in astronomy, but in physics, biology, or just about any science you look, simulations are slowly replacing traditional theory as the preferred way to interpret experimental or observational data.  The recently-inaugurated Flatiron Institute in New York is an example of this, where the Simons Foundation has invested hundreds of millions in new centres in fields from computational neuroscience to computational quantum to computational astrophysics. Simulations are revolutionising the way we do science, and arguably nowhere is this more apparent than in galaxy formation and cosmology.

What’s next?

When I started my career 30 years ago, my pie-in-the-sky dream was to run a simulation including all the known physics of galaxy formation within a cosmological context, from dust grains and molecules forming deep within the interstellar medium of galaxies to the ultraviolet radiation emitted by black holes pervading the universe on large scales.  I genuinely believe that within the next five years or so, we will achieve this, albeit using sub-grid models.  My group’s planned next generation of simulations, called KIARA, has this soup to nuts works that I envisioned so long ago, and even a few things that I hadn’t anticipated.  Other groups are working on similar things. Although there would still be lots left to do, this would be major milestone in the field, and for myself a nice career capstone.

What’s exciting to you at the moment?

The obvious answer in astronomy is the James Webb Space Telescope, which has already been transformational in understanding the distant universe; I’m involved in several big JWST programs.  But a lesser-known revolution is afoot in the radio: South Africa’s new MeerKAT radio interferometer will likewise be transformation for enabling studies of distant galaxies in the under-explored radio bands.  MeerKAT is the core of the upcoming Square Kilometre Array project, an international coalition headquartered in Manchester aiming at building next-generation radio facilities around the world.  I am still very connected to South African astronomy from my time as a SARChI Chair there, and I am going back to South Africa in 2024 for my sabbatical to help better understand how to use MeerKAT’s novel data to constrain our simulations for galaxy formation and cosmology.  It is always exciting to be able to probe into a new regime; the Universe never fails to surprise!




Comments

Popular posts from this blog

The Laws of Thought - Tom Griffiths *****

In giving us a history of attempts to explain our thinking abilities, Tom Griffiths demonstrates an excellent ability to pitch information just right for the informed general reader.  We begin with Aristotelian logic and the way Boole and others transformed it into a kind of arithmetic before a first introduction of computing and theories of language. Griffiths covers a surprising amount of ground - we don't just get, for instance, the obvious figures of Turing, von Neumann and Shannon, but the interaction between the computing pioneers and those concerned with trying to understand the way we think - for example in the work of Jerome Bruner, of whom I confess I'd never heard.  This would prove to be the case with a whole host of people who have made interesting contributions to the understanding of human thought processes. Sometimes their theories were contradictory - this isn't an easy field to successfully observe - but always they were interesting. But for me, at least, ...

The Infinity Machine - Sebastian Mallaby ****

It's very quickly clear that Sebastian Mallaby is a huge Demis Hassabis fan - writing about the only child prodigy and teen genius ever who was also a nice, rounded personality. After a few chapters, though, things settle down (I'm reminded of Douglas Adams' description of the Hitchhiker's Guide to the Galaxy ) and we get a good, solid trip through the journey that gave us DeepMind, their AlphaGo and AlphaFold programs, the sudden explosion of competition on the AI front and thoughts on artificial general intelligence. Although Mallaby does occasionally still go into fan mode - reading this you would think that AlphaFold had successfully perfectly predicted the structure of every protein, where it is usually not sufficiently accurate for its results to have direct practical application - we get a real feel for the way this relatively unusual company was swiftly and successfully developed away from Silicon Valley. It's readable and gives an important understanding of...

Nanotechnology - Rahul Rao ****

There was a time when nanotechnology was both going to transform the world and wipe us out - a similar position to our view of AI today. On the positive transformation side there was K. Eric Drexler's visions in the 1986 Engines of Creation. Arguably as much science fiction as engineering possibilities, it predicted the ability to use vast armies of assemblers to put objects together from individual atoms.  On the negative side was the vision of grey goo, out of control nanotechnology consuming all in its path as it made more and more copies of itself. In 2003, for instance, the then Prince Charles made the headlines  when newspapers reported ‘The prince has raised the spectre of the “grey goo” catastrophe in which sub-microscopic machines designed to share intelligence and replicate themselves take over and devour the planet.’ These days the expectations have been eased down a notch or two. Where nanotechnology has succeeded, it has been with the likes of atom-thick mat...