Alex C. Christou

Artificial Intelligence · Neurotechnology · Entrepreneurship

Alex C. Christou

Working across AI and the human mind.

I’m Alex C. Christou, also known as Alex Christou. I lead business development at DeepBrain and co-develop research software with the team. My interests span computational neuroscience, brain modelling and the commercialisation of emerging technologies.

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Selected work

What I’m working on.

Software I build, research I contribute to, and ventures I help develop.

01

DeepBrain

Business development & research software

I lead business development for a neurotechnology venture developing non-invasive neuromodulation, working on investor materials, grants and partnerships.

Alongside the commercial work, I co-developed a batched Jansen–Rit neural mass simulator and Python workflows for replaying simulations. Saved parameters and seeds make runs reproducible; the interfaces distinguish measured signals from predictions.

The work uses synthetic streams and saved research data. It is a research tool, not a clinically validated system.

Research software and validation

Explore DeepBrain
02

ProsperoHub / Siloy

AI Project Consultant · Saltire Scholar

I designed and built an AI account-planning agent that turns client information and delivery records into draft roadmaps.

I wrote the prompts and TypeScript integration, then built a React interface inside HubSpot so colleagues can inspect recommendations and review the evidence. Sources remain attached to the output, inferences are labelled, and gaps in the information are flagged.

The work is in internal pilot use, with further interface development and testing.

03

Simulation modelling

Complexity science · Project work

I work with system dynamics and agent-based models for business forecasting, using Docker to manage simulations and Python to examine their outputs.

I test accounting identities, stock-flow consistency and uncertainty estimates, including scenarios at the limits of a model. Reproducible issues become diagnostic evidence for engineering follow-up.

04

Research

Neural modelling · AI governance

My developing MSc research direction explores neural dynamics, simulation-based inference and generative modelling, with an interest in forecasting signals under uncertainty.

My undergraduate dissertation, The Readability Illusion, compared AI-derived readability measures with traditional metrics in central-bank communication and tested links between language complexity and financial markets.

With Dr Alan Huang at Strathclyde, I am preparing a manuscript on generative AI governance and institutional trust in higher education, using reflexive thematic analysis of focus-group data.

Research background and methods
05

Ventures & competitions

StrathEssentials · Analytical writing

I co-founded StrathEssentials to reduce waste in educational resources and developed it through to campus-wide adoption. We agreed its transfer to the university in August 2025.

I won the Strathclyde Inspire Exploring Entrepreneurship Challenge in 2024 and 2026, and the Santander Universities Open Business Creators Startup Fund in 2026. My writing received the Tom Morrison Essay Prize and second place in the CMA national essay competition.

See the background

Recognition.

  • NVIDIA
  • University of Strathclyde
  • targetjobs Undergraduate of the Year Awards
  • Cambridge NeuroWorks
  • Chartered Governance Institute UK & Ireland
  • Competition & Markets Authority
  • Entrepreneurial Scotland
  • Conception X
  • Converge Challenge
  • Strathclyde Inspire
  • Scottish Edge
  • The Pitch, powered by SeedLegals

Research

Exploring how
a model reads.

Readability asks how much effort a sentence demands. Interpretability asks how a model arrives at meaning.

Central bank language is a useful place to explore both: precise, hedged, and dense on purpose.

The small example here illustrates relationships within a sentence. It is an explanation of the question, not a model’s measured attention.

Read the research note on AI interpretability and central-bank language

A monetary policy statement

The Committee judges that a further withdrawal of monetary stimulus may be appropriate.

Selected word: may

“May” qualifies the statement. The sentence presents a possibility, not a commitment.

Select a word. Use ← and → to move through the sentence.

Illustrative, hand-written relationships. No model data.

Perspective

“What motivates me, and makes me apply myself across every field I work in, is asymmetric information. Through everything I have done, I try to dig deeper: a market can price things wrong, and a model can look right at first, but dig deeper and the truth shows itself.”

Alex C. Christou

Selected milestones

Background.

Read my biography

  1. 2026 to 27

    MSc at Strathclyde

    Currently studying Economics, Data Science & Artificial Intelligence, following my BA (Hons) in Economics & Business Analysis Technology.

  2. 2026

    Cambridge NeuroWorks

    Selected for the What If programme, representing DeepBrain and engaging with academic and clinical networks around neuromodulation.

  3. 2025

    BNY, Dublin

    During my operations internship, I co-led AI agents for interpreting and handling operations email, from prototypes through testing and rollout. Responses required human review before leaving the team.

  4. 2025

    DeepBrain

    Joined to lead business development. Finalist with the team in Converge Challenge and Conception X.

  5. 2024

    Competition & Markets Authority

    Second place in the national essay competition.

  6. 2021 to 22

    Military service

    I served as an Officer Cadet in the Tanks Regiment of the Greek Cypriot National Guard, with responsibilities in resource allocation and logistical reporting.

Let’s talk.

Find me on LinkedIn

Research, a project, or a good question.
LinkedIn is the best place to reach me.