The LQM network
The people who make the physical world computable.
A small, invitation-based network for specialists in Large Quantitative Models. No noise, no recruiters spamming — just the people doing the work, and the teams who need them.
Who it's for
Four kinds of member.
LQM & physics-ML engineers
01You train surrogates, build scientific foundation models or work on physics-informed architectures.
Computational scientists
02Chemists, materials scientists, electrochemists and biophysicists generating first-principles data.
Model validators & quants
03You decide whether a number can be trusted — in a bank, a pharma company or a plant.
Founders & hiring teams
04You are building in quantitative AI and looking for people who speak both science and ML.
What you get
Signal
- Early briefings on new models, datasets and deployments
- Curated reading on benchmarks and validation
What you get
People
- Introductions across chemistry, physics and ML
- Small, focused discussions
What you get
Opportunities
- Roles from teams building quantitative AI
- A platform to publish your work
Write for us
Have something precise to say?
We publish practitioner essays on LQM architecture, data generation, uncertainty, validation and real deployments. Send a 150-word pitch and links to previous work. We reply to every serious pitch.
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