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Alex Rives

Head of Science, Biohub

Created the ESM protein language models at Meta and co-founded EvolutionaryScale, now leads Biohub's AI-for-biology science.

Real Alpha has cut 8 moments of Alex Rives (Head of Science, Biohub) talking, from an interview on The Cognitive Revolution published Oct 20, 2026.

What Alex Rives said

    1. 14:36

      Cell models need information-rich data and useful inductive bias

      “So what I think is possible now is an information theoretic model of the cell.”
      at 16:38
    2. 26:12

      A laser phase plate reveals molecules inside living cells

      “what this really gets you is the ability to look. And so the big application is cryo-electron tomography, which is basically sectioning the cell”
      at 26:52
    3. 48:56

      Health records alone may reveal correlations, not causes

      “because if you don't have the right basis, basically what you're going to learn is a bunch of correlations.”
      at 50:07
    4. 22:47

      Biohub's initiative targets hundreds of billions of cells

      “be able to do that at the scale of hundreds of billions or more cells.”
      at 25:06
    5. 30:25

      Biohub is building imaging tools across biological scales

      “track a developing zebrafish embryo over time and actually see and track every single cell”
      at 34:48
    6. 38:37

      Protein models benefit from training across evolution

      “And so there's, I think, something really powerful in this idea of generalization and transfer.”
      at 41:02
    7. 45:58

      A coordinated effort could map cellular health and disease in five years

      “within five years with a really focused coordinated effort, we can have, you know, a pretty comprehensive map there.”
      at 47:51
    8. 42:17

      Biology models need lab-based verification loops

      “ask the question perform the experiment learn from the experiment improve its understanding propose a better experiment”
      at 45:04

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