Role-aware
Profiles identify how each contributor participates in research, development, training, or collaboration.
HUMACH is designed as a growing research and development community where leadership, researchers, developers, interns, students, collaborators, and alumni contribute through clear roles and visible outputs.
Meet the people and contributor pathways behind HUMACH Research.
The HUMACH team page is structured to support current members and future contributors. It separates leadership, research, development, internship, collaboration, and alumni roles so the website can grow without redesigning the page every time a new contributor joins.
Profiles identify how each contributor participates in research, development, training, or collaboration.
Team members can later connect to projects, research areas, outputs, and publications.
Contributor cards highlight visible outputs such as reports, code, figures, prototypes, and papers.
The page supports future interns, students, alumni, and external collaborators.
People Behind HUMACH

PhD researcher and research-development lead specialising in AI, ML, deep learning, explainable AI, generative and agentic AI, health informatics, biomedical signal processing, sleep analysis, epilepsy, ageing, and air-quality analytics.

Collaborators and researchers working across AI, data science, biomedical computing, human-centered systems, and applied computing projects.
Developers contributing to dashboards, research automation tools, web interfaces, APIs, visual analytics, documentation, and prototype systems.
Interns join supervised research tasks such as reading, dataset preparation, experiments, result analysis, and manuscript-support activities.
Development interns contribute to frontend pages, data-driven components, project documentation, UI improvements, and research software prototypes.
As HUMACH grows, completed interns, students, and collaborators can be listed as alumni with project contributions and outputs.
How HUMACH contributors are organized
Sets research vision, supervision, and collaboration direction.
Contribute to research design, experiments, and publications.
Build dashboards, prototypes, tools, and reusable components.
Learn through practical milestones and visible outputs.
As the website grows, each member can be linked to their projects, research areas, publications, technical outputs, and internship milestones.
Literature reviews, experiments, datasets, model evaluation, and publication support.
Code, dashboards, UI modules, data loaders, documentation, and software prototypes.
Internship milestones, student projects, thesis supervision, and portfolio-ready evidence.
External research ideas, institutional partnerships, technical mentoring, and applied impact.
Use the opportunities page to choose the most suitable pathway and express your interest in research, development, thesis work, or collaboration.