DesMind Labs

Where our next systems begin.

DesMind Labs is home to our research, experimental projects and collaborations. Much of it runs in public: try it, read it or fork it.

Focus areas

What we are exploring

Privacy-preserving AI

Models that learn from sensitive data without exposing it. This is the core of our PhD research.

Federated learning

Training across hospitals, sites and devices while raw data stays where it was created.

Responsible AI

Evaluation, governance and ethics designed into systems, not added after launch.

Conversational systems

Assistants that keep context, cite sources and hand over to a person when they should.

Large language models

Retrieval, fine-tuning, structured outputs and guardrails for dependable behaviour.

Digital health

AI for early detection and support in care, starting with perinatal mental health.

Research

Published, peer-reviewed work

Research across AI for healthcare, power electronics and interdisciplinary life sciences. It shapes how we measure and document every system.

2026

Evolutionary mechanisms of intraspecies snake venom diversification: a systematic review

Frontiers in Ecology and Evolution
Read
2026

AI-supported conversational agents for perinatal mental health: a scoping review

Preprint · OSF
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2024

A five-level nested neutral point-clamped inverter topology

IET Power Electronics
Read
2024

A single-phase, nine-level switched-capacitor-based inverter

Journal of Power Electronics
Read
2023

Stator winding chording in five-phase synchronous reluctance motors

Journal of Energy Systems
Read
Open source

Code we share

Research partner, pilot site or co-builder?

We welcome research collaborations, pilot deployments and joint projects, especially in digital health and privacy-preserving AI.