About
Matthew Jensen is a Research Fellow at Yale School of Medicine, Yale University. His research focuses on genetics, neuroscience, and the application of artificial intelligence in healthcare. He explores topics such as psychiatric disorders, genetic variation, single-cell genomics, and privacy-preserving genomic data analysis. His work bridges computational biology with clinical insights, particularly in understanding neurodevelopmental disorders and leveraging AI for disease characterization.
Key research interests include:
- Genetic modifiers and their impact on disease variability
- Single-cell analysis of brain and other tissues
- Development of AI tools for digital phenotyping and polygenic risk assessment
- Functional genomics and regulatory element dynamics in human health
Recent publications highlight innovations in:
- Privacy-preserving genomic analysis using homomorphic encryption
- Multi-cohort studies of schizophrenia transcriptomes
- Comprehensive mapping of brain regulatory elements
No scientific awards or grants are explicitly mentioned in the provided information.
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