Scientific data engineering
I build robust pipelines for ingestion, synchronisation, quality control, harmonisation, and analysis of structured research datasets.
AI & ML · Multimodal Fusion · Multi-Agentic Research
Researcher in AI and data science working on multimodal datasets and reproducible analysis.
I work across physiological, behavioural, and environmental data. My focus is on building reliable workflows for synchronisation, quality control, documentation, and downstream analysis in collaborative research settings.
Research areas
What I work on
My background combines Python-based data engineering, multimodal analysis, and scientific workflow design in interdisciplinary academic environments.
Multimodal physiological datasets
I work with physiological, behavioural, and environmental signals, including protocol-based human-subject studies and wearable sensor data.
Reproducible research operations
I support interdisciplinary teams with analysis documentation, publication-oriented outputs, and reusable software workflows.
Frontier Direction
Building the data layer for next-generation human-aware systems
The future of intelligent systems will depend on richer sensing, better alignment between environment and physiology, and workflows that make complex human data usable at scale. My work sits in that layer between sensing and intelligence.
Perception
Multimodal signals from physiology, behaviour, and environment
Intelligence
Structured data foundations for interpretable models, adaptive systems, and reliable inference
Action
Research pipelines that make complex human-centred data usable for next-generation autonomous systems
Core themes
Technical focus
The strongest threads in my work are multimodal data integration, signal processing, data curation, feature extraction, validation, and research coordination.
FAIR data
Signal processing
Time-series analysis
Feature engineering
Scientific software
Research coordination
Featured work
View all projects
Selected projects and research outputs
CLTR: Chrono-Light Thermophysiology Response
A modular research software framework for synchronized preprocessing, feature extraction, quality control, and temporal analysis of physiological and environmental time-series data.
See project detailsSYNAPSE: Structured Hybrid Neurostimulation for Prefrontal Laterality Modulation
A multimodal cognitive neuroscience study integrating EEG, HRV, EDA, and auditory stimulation with structured operational design and protocol-aligned analysis.
See project detailsHEROx: Human Experience in Regulated Offices Extended
A human-centred multimodal study linking physiological, environmental, and perceptual data through synchronized acquisition, preprocessing, quality control, and protocol-aware analysis.
See project details