Episode 16: Coleen Murphy on Aging, Biology, and the Future

Aging -- everybody does it, very few people actually do something about it. Coleen Murphy is an exception. In her laboratory at Princeton, she and her team study aging in the famous C. Elegans roundworm, with an eye to extending its lifespan as well as figuring out exactly what processes take place when we age. In this episode we contemplate what scientists have learned about aging, and the prospects for ameliorating its effects -- or curing it altogether? -- even in human beings.

Coleen Murphy received her Ph.D. in biochemistry from Stanford University, and is currently Professor in the Department of Molecular Biology and the Lewis-Sigler Institute of Integrative Genomics at Princeton.

5 thoughts on “Episode 16: Coleen Murphy on Aging, Biology, and the Future”

  1. I’m suspicious of “it’s for the best of the species” approach to evolution. What I’ve heard is that there’s a tradeoff between performance while young and performance while old. And since all old people have been young, but not all young people will be old, natural selection tends to select more for young vigor than old vigor. Very interesting podcast.

  2. Off Topic, but I had to cancel Patreon for changing the charge of $1 per episode to $2 per episode and then to $4 for this last episode. Signing in to Patreon web to address this problem was almost impossible and I had to notify my bank.

    I am retired and did not like that my agreed contribution went up 4 times without permission. :(

  3. Pingback: Sean Carroll's Mindscape Podcast: Coleen Murphy on Aging, Biology, and the Future | 3 Quarks Daily

  4. I left the field of the genomics of ageing 3 years back to pursue less brain melting studies in astrophysics – Simple,, old fashioned problems, like decoding the universe and the ultimate fate of the cosmos – these are much more appealing!
    My last genomics workshop ended with a presentation by one of David Gems’ students who voiced the fears of most researchers, that the genomics approach might be built on essentially misinterpreted data of stochastic processes. I got very drunk that evening –

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