Skip to content

Join us

Help build the future, with us.

MNEOS is being built by human scientists and engineers working with AI as true collaborators, and we are looking for people who want to be part of it from the start. Improve a model, challenge an assumption, build an instrument, teach a machine to remember, design a better experiment.

Three needs right now: instrumentation and metrology for the first Neuroclearance bench system; neuroscience and clinical-methods expertise for brain-health research; and people who can help make AI memory checkable.

Open problems

Start with a problem that excites you

Open problem OP-01

Trustworthy bench measurements

Which measurement limitations could invalidate an interpretation of the first Neuroclearance bench results?

First useful contribution: A proposed calibration, timing and uncertainty plan for the bench configuration, written against the stated conditions.

Expertise: Instrumentation, metrology, controls engineering
Status: Open now · contact David Sherrer · updated September 28, 2026

Read the brief

Open problem OP-02

Evidence for lasting benefit

What would distinguish a transient physiological response from meaningful, durable function in brain-health research?

First useful contribution: An endpoint and alternative-explanations review: what would count, what could mislead, and what a later study would need.

Expertise: Neuroscience, physiology, clinical methods, statistics
Status: Open now · contact David Sherrer · updated September 28, 2026

Read the brief

Open problem OP-03

Memory that can be checked

How can a research system retain why a decision was made and revise that record correctly when new evidence arrives?

First useful contribution: A small evaluation set: questions, the sources that answer them, and decision revisions a system should reproduce.

Expertise: Knowledge representation, retrieval, scientific software
Status: Open now · contact David Sherrer · updated September 28, 2026

Read the brief

Open problem OP-04

Model to physical evidence

How should measured results change a model and the next experiment, in a way a later engineer can audit?

First useful contribution: A reproducible example with model assumptions, a measurement, comparison criteria and the resulting revision.

Expertise: Applied mathematics, physics, experimental design
Status: Open now · contact David Sherrer · updated September 28, 2026

Read the brief

Paths

Where different people fit

Scientist or mathematician

Sharpen the question

Take an open problem and propose the contribution, or the alternative explanation, that would move it.

Engineer or experimentalist

Build and measure

Help build the bench system, the measurement chain, or the first model-to-evidence example.

University, laboratory or sponsor

Partner with us

Bring complementary capability, a laboratory, or support for a defined milestone. See Partnerships.

Collaborations start as invitations and some become funded roles. For patient questions or investment matters, see Contact.

Introduce yourself

A short first note is enough

Fields marked required are required.

What question interests you, and what experience would you bring? A short introduction is enough.

Keep this introduction non-confidential. Please do not send medical records, unpublished inventions or controlled information. See the detailed notice and privacy policy.

Your inquiry is stored privately and reviewed by David Sherrer. We do not promise a response time. If the form cannot be submitted, email [email protected] with the same short introduction.

What happens next

  1. Your note is stored privately and you receive a reference number.
  2. David reads every one personally.
  3. Where there is a fit, he replies to arrange scope, format and access. Details like CVs and location come later.

Keep the first note simple

Non-confidential only: no medical records, unpublished inventions, proprietary code or controlled information in a first message.