Research
My research examines trustworthy digital systems: how sensitive data can be shared with stronger privacy controls, how decentralized systems can exchange information securely, and how machine learning can support cyber-threat detection.
The themes below describe recurring areas in the verified publication record; they do not imply deployment, adoption, funding, or measured impact.
Privacy-preserving health-data sharing
This theme brings together work on consent, access control, encryption, and federated approaches to sharing sensitive health and genomic data.
Blockchain security and interoperability
This theme examines blockchain and smart-contract mechanisms for secure exchange across heterogeneous systems.
Machine learning for cyber-threat detection
This theme examines machine-learning and deep-learning methods used in intrusion and phishing detection.
Collaboration inquiries
For a research inquiry, include the research question, scope, intended contributions, relevant evidence, and any important constraints. An inquiry does not imply availability, funding, supervision capacity, consulting, partnership, institutional participation, or a response time.
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