Profile
Biography, motivations, technical skills and professional trajectory.
Open profile →Portfolio
Noisy systems into measurable outcomes
An independent portfolio connecting machine learning, state-space modelling, multi-view latent structures and decision-making under uncertainty.
Portfolio Hub
The site integrates a professional profile, technical projects and independent research while focusing on navigating uncertainty
Projects
GitHub portfolio across quant, data, machine learning and anomaly detection.
Open projects →Research
7 Papers, including MSc work, PhD direction and future independent research.
Open research →From noisy data to auditable decision evidence
Model uncertainty
Measures what is known, missing, unstable or assumption-dependent.
Extract structure
Maps entities into comparable local state spaces across evidence views.
Detect change
Identifies drift, instability, divergence and structural breakdown over time.
Produce evidence
Turns analysis into dashboards, review outputs and defensible next checks.