Writing.

Essays on AI, data integrity and the people side of change, from someone who has done the work. New pieces appear here first.

Efthymios Vogiatzis on a manufacturing floor

16 October 2026 · AI drug discovery · 2 min read

Protein design moved to the atom. The bottleneck moved to the bench.

A new system from the University of Washington designs enzymes atom by atom, which changes the question an investor should ask a drug-discovery founder.

21 October 2026 · Operations · 2 min read

The quiet half of biotech: scaling it next to a sugar mill

A Brevel and Wave Group plant jumps from a 5,000-litre tank to 300,000 litres, on a feedstock sitting next door. Scale-up is the half that decides whether biology reaches a shelf.

20 October 2026 · AI drug discovery · 2 min read

A model that reads the genome one cell at a time

Arc Institute's Bolero turns years of cell atlases from a catalog into something you can question.

20 October 2026 · Healthtech · 2 min read

The $60 genome, and why the cheap instrument sets the ceiling on the models

Ultima Genomics says it can sequence a whole human genome for $60. The interesting consequence is upstream of medicine.

20 October 2026 · Operations · 2 min read

When the measuring gets cheap, the thinking becomes the constraint

A Tohoku University system runs a full metals experiment without a person, more than ten times faster than by hand. The scarce resource becomes deciding what to test next.

20 October 2026 · AI drug discovery · 2 min read

An AI ran a whole protein-design campaign on its own

In 64 hours, a model drove a dozen design tools, screened half a million candidates and handed back 17 binders. The design step is becoming something you point at a problem and leave running.

18 October 2026 · DeepTech · 2 min read

Searching for materials in plain English

An MIT model pairs the 3D structure of a crystal with a written description, so you can query the materials space with words.

14 October 2026 · Trust and provenance · 2 min read

Google opened an error-checker for technical documents. Peer review is just the first customer.

Deep Review stress-tests a document for logical gaps and math errors. The same problem shows up in every due-diligence memo and regulatory filing.

14 October 2026 · Trust and provenance · 2 min read

An AI detector that reads the ideas, not the prose

A University of Maryland and Google DeepMind detector asks whose thinking a document contains, which reaches well past the classroom.

12 October 2026 · AI drug discovery · 2 min read

Mapping the layer of biology where a lot of disease actually lives

An Arc Institute atlas maps where 67 proteins grab onto RNA, opening the least-charted of biology's three control layers.

July 2026 · Healthtech · 8 min read

eCOA vs ePRO: a practitioner's guide

What electronic clinical outcome assessment (eCOA) and electronic patient-reported outcome (ePRO) really mean, how they differ, and what to ask before you pick a platform.

June 2026 · AI drug discovery · 9 min read

AI in drug development: a pharmacist's view on data integrity

Where AI moves discovery forward, where data drift poisons it, and what a pharmacist's eye catches.

Short notes on LinkedIn

Field notes

  1. 01

    Intelligence is the commodity now. The system is the edge.

  2. 02

    Anyone can buy the engine. Few rebuild the aircraft around it.

  3. 03

    The work is in the almost.

  4. 04

    The number on the slide isn't the number in the world.

  5. 05

    Most reports don't break. They quietly stop being true.

  6. 06

    Models don't fail in production. Trust does.

  7. 07

    Accuracy is cheap. A decision that changes is expensive.

  8. 08

    The job is to make the moment of commitment quiet.

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