London Area, United Kingdom
I've spent over a decade following a single physical principle to its consequences: the world encodes information about itself in how it responds to being disturbed. Not in its composition. Not in its structure at rest. In its dynamic behaviour under stress. That conviction took me through a decade of academic work on nerve pulse propagation, nonlinear physics at interfaces, and synthetic membranes, restoring an abandoned scientific lineage that runs from Eigen's relaxation methods through Kaufmann's thermodynamic theory of the nerve impulse to experimental proof that interfaces themselves compute. That lineage became a company. At Apoha, we've built a natural computing platform that resolves what we believe is the third fundamental data class of molecular science: States. Genomics gave us sequences. Structural biology gave us structures. Neither tells you what a molecule actually does. Our platform subjects molecules to real physical perturbation and reads the full behavioural response, generating thermodynamic state data that has never existed for complex biological and formulated materials. We're already using this to transform how the world's largest pharma and food companies make molecular decisions, from antibody developability to formulation science. Every measurement compounds, building a proprietary dataset that grows more predictive over time. The near-term case is proven. The long-term case is the data infrastructure for physical AI. Building this company has taught me that the deepest technical moats are also organisational ones. The platform only works because the team refuses to respect disciplinary boundaries, the same principle that makes the science work makes the company work. I believe in first-principles thinking, transparent leadership, and the conviction that the most important problems live at the interfaces between fields, not inside them. I write and think about what lies beyond AI, the history of science, physics-based computing, and why the mainstream keeps abandoning ideas that turn out to be correct. If any of that resonates, let's connect. #DeepTech #AIforScience #NaturalComputing #PhysicsBasedAI #MaterialIntelligence
At Apoha, we empower companies to design and scale complex materials, mixtures, and formulations tailored to customer specifications. Our AI-native scientific instruments, powered by proprietary Liquid State Intelligence technology, offer rapid, sensory or behavioural classification of complex mixtures, enhancing everything from alternative food sources and sustainable materials to drug optimization for safety, efficacy, and manufacturability.
New technologies based on biomedical ultrasound, photonics and photoacoustics. Acousto-photonic and photoacoustic manipulation of cell membrane biophysics. Affiliated with Rosalind Franklin Institute https://www.rfi.ac.uk/science-themes/imaging-with-sound-light/
Shock wave enhanced delivery of antibodies, mRNA and lipid nanoparticles in cancer cells at Oxford Centre for Drug Delivery and Devices (OXCD3). Ultrasonic Neuromodulation.
Shock wave theory for cell membranes
On the existence of thermodynamic pulses at hydrated interfaces and their role in biology.
Heat and Mass Transfer during Evaporation of a Sessile Water Drop. Directed assembly of colloidal particles via contact line pinning.