Alex C. Christou

Biography & background

About Alex C. Christou

Alex C. Christou, whose full name is Alexandros Christou, is an AI and neurotechnology professional. Also known as Alex Christou and Alexandros C. Christou, he works across AI implementation, neurotechnology and research software, alongside postgraduate study at the University of Strathclyde.

Background and education

Alex has Cypriot and Irish family heritage and grew up in the United Arab Emirates. He later studied at the University of Strathclyde in Scotland, completing a BA (Hons) in Economics and Business Analysis & Technology.

In September 2026, he began Strathclyde’s MSc in Economics, Data Science & Artificial Intelligence. Economics provides a foundation for his work on uncertainty, information and decision-making; his current interests centre on AI and neurotechnology.

AI and neurotechnology

Alex leads business development at DeepBrain, working on investor materials, grant applications and partnerships. Alongside this commercial work, he co-develops research software with the team.

He co-developed a batched Jansen–Rit neural mass simulator. In a 48-case benchmark, repeated three times on a single CPU process, it ran 6.3 times faster than serial execution while producing identical float32 outputs. This is a software benchmark under those conditions, not a claim about clinical performance.

His Python workflows retain parameters, deterministic seeds and versioned outputs so simulations can be replayed. A FastAPI and SQLite prototype connects synthetic Lab Streaming Layer signals to quality checks, recording storage and WebSocket interfaces. Mock inference remains separate from the research simulator.

He also developed interfaces for reviewing saved research data, keeping measured and predicted signals distinct. Numerical fidelity was checked against source arrays through 4,128 comparisons and 16 peak-timing checks.

Research

Neural dynamics and inference

Alex’s developing MSc dissertation direction explores mechanistic and generative models of neural dynamics. His interests include simulation-based inference, conditional flow matching and Bayesian inference, with questions about parameter identifiability, neural signal forecasting under uncertainty and generalisation beyond the training distribution.

Proposed areas include EEG and fNIRS, latent dynamical systems, time-varying connectivity and phase synchronisation. These are directions under development, not completed dissertation results or published findings.

Generative AI and institutional trust

Since February 2026, Alex has worked as a research intern with Dr Alan Huang in Strathclyde’s Department of Education. A manuscript in preparation examines generative AI governance and institutional trust in higher education. The work applies reflexive thematic analysis to focus-group data, informed by principal–agent theory and transaction cost economics.

Language and central-bank communication

His undergraduate dissertation, The Readability Illusion: Validating LLM Complexity Measures in South African Central Bank Communication, compared LLM complexity measures with traditional readability metrics in South African Reserve Bank communication. It used quantitative analysis and event-study methods to examine monetary policy and financial-market responses.

The research note on AI interpretability and central-bank language introduces the underlying questions and distinguishes an illustrative example from measured model evidence.

Professional experience and entrepreneurship

As an AI Project Consultant and Saltire Scholar at ProsperoHub / Siloy, Alex designed and built an account-planning agent, with a TypeScript integration and a React interface inside HubSpot. The internal pilot brings together HubSpot client information and delivery evidence from ClickUp and SharePoint. It attaches sources to recommendations, labels inferences and flags missing information for human review. A refinement passed 245 local component and integration tests; deployed CRM interfaces were checked for record context and empty states. Wider acceptance and access validation remain outstanding.

During an operations internship at BNY in Dublin in 2025, he co-led work on AI agents for handling operations email. Responses required human review before leaving the team. He also built Alteryx automation and dashboards to monitor accuracy and throughput.

Earlier, as a Data Analyst Intern with Sustainable Strathclyde, he cleaned and reconciled emissions data and developed recommendations on laboratory energy use that were adopted by the sustainability team.

Alex co-founded StrathEssentials to reduce waste in educational resources and developed it through to campus-wide adoption. Its transfer to the university was agreed in August 2025. His current selected projects also include simulation modelling and tests of model consistency and uncertainty.

Selected achievements

Writing and professional profiles

Alex writes BCI, Decoded, a newsletter explaining neural decoding mathematics and assessing brain–computer interface research and industry claims against original sources. His LinkedIn profile is the best place to get in touch about research, projects or technology commercialisation.