Quantum Biology

For most of the last century, the working model of the cell has been chemical: a bounded volume of molecules, reacting at rates set by concentration and temperature. It is a model that built modern biotechnology, and it is running out of explanatory room.
Consider what it does not account for. A cell makes decisions faster and more reliably than diffusion-limited chemistry should allow. Development produces the same body plan from noisy starting conditions, over and over. Enzymes select substrates with a specificity that looks less like collision and more like search. In each case the interesting quantity is not how much of something is present, but what is being distinguished, transmitted, and acted upon. That is an information question, and classical Shannon theory was not built to answer it. Shannon measured the fidelity of a channel while explicitly setting meaning aside. Biology cannot set meaning aside, because in a living system the same message produces different outcomes depending on context, history, and state.
This session works through that argument in three moves, following the framing developed by Dr. Monendra Grover in his "Rethinking Biology" series.
Move 1: Why biology needs a new information theory. What Shannon gives us, what it deliberately excludes, and why the excluded part (semantics, context dependence, the fact that biological messages are interpreted rather than merely received) turns out to be the load-bearing part for living systems.
Move 2: Is the cell really just a bag of chemicals? The bag-of-chemicals model treated spatial organization, timing, and structure as incidental. Compartmentalization, molecular crowding, phase separation, and the possibility of non-local correlation between biomolecules all suggest the organization is not incidental. It may be the computation.
Move 3: From molecules to information. What a genuinely informational biology would look like in practice. New measures for biological information that carry context rather than discard it, the open question of whether quantum mechanisms play a functional role in cellular information processing, and what any of this would predict that current models do not.

### Why this session, and why now

Two audiences rarely sit in the same room for this conversation. Quantum computing and information theory people have the formal machinery but often lack the biological detail. Biologists and bioinformaticians have the systems but tend to treat information as a metaphor rather than a quantity. This session is an attempt to put both in the same room and see whether the framing survives contact.
We will treat this as an open scientific question, not a settled result. Some of what gets discussed is well established, some is actively contested, and some is a research program looking for its first decisive experiment. We will say clearly which is which. Skeptics are genuinely welcome, and the strongest objection of the evening gets the last word.