I’m interested in the physics of life.
I have a couple of Masters degrees in theoretical physics (MPhys & MASt) and I am engaged in research independent of any academic institution.

What I'm interested in is applying 'MaxEnt' from Jaynes' work in probability to tackle problems in biology — in particular Kinesin steps modelled  using stochastic resetting.

There's no intention to make claims before any kind of peer-review process — I am just testing the waters outside of the traditional academic pipeline.
I hold a couple of Masters degrees in Theoretical Physics, one from the University of St Andrews, the other from the University of Cambridge.

I am currently engaged in my own research (independently of any academic institution) which involves using the Principle of Maximum Entropy (MaxEnt) from Bayesian/Jaynesian Probability to try and tackle problems in Biology.
I’m not really a scientist!

I haven’t published any of my own literature yet, but my interest in irreversible thermodynamics and non-equilibrium statistical mechanics is genuine and follows on from my research at Cambridge.

I don’t intend to make claims or publish anything that hasn’t been peer-reviewed first, but I am testing the waters outside of the traditional academic pipeline.
This is a bit out of date, but it gives a decent overview of what my research involves.

Basically, a single stepping cycle of this molecular motor burns one ATP molecule via hydrolysis. This provides a budget that is spent across the different stages of the mechanochemical cycle.

One stage is a diffusive-like search for a binding site up ahead and 'stochastic resetting' is a search protocol that involves the continual resetting of a particle to an initial position, modelled using modified-diffusion equations and  solvable for mean, variance, skewness etc.

The MaxEnt procedure comes in because these expectations can form a well-defined hypothesis space for The Maximum Entropy Principle to do its magic: it reliably reproduces the associated probability distribution that minimises bias.
If you like this stuff too you can reach out to me. I love chatting with with researchers from a wide range of disciplines.

I'm open to the idea of a more formal PhD (if you're the right sort of supervisor), so get in touch if you think this research would be a good fit in your research group.
If you like this stuff too, you can reach out to me.

There may be a PhD soon in the future, but I would need to find the right supervisor. You can get in touch if you think it's a good fit in your research group.

In addition to molecular biology, I like questions about geochemistry and evolutionary biology (eg: early triassic δ13C. excursions; cambrian explosion + shuram excursion; oceanic anoxic events; great oxygenation event) + Jaynesian approaches to active inference and artificial intelligence.
In addition to the molecular biology mentioned above, I’m fascinated by the geochemistry of the rock record & problems in evolutionary biology (eg: Early Triassic excursions; Cambrian Explosion + Shuram excursion; Oceanic Anoxic Events; The Great Oxygenation Event), along with Jaynesian approaches to active inference and artificial intelligence.

I'm also a big fan of Conformal Gravity (despite it's numerous flaws) and a general skeptic of conventional interpretations of dark matter/energy.
Sometimes I'll sit in front of a camera and talk about stuff for a general/layman audience.

Entropy is a very misunderstood quantity, often overly simplified and equated with vague notions of ‘disorder’.

Here’s a video which dives into why I would be wary of drawing such a connection.