Interested in computational approaches for analysing scRNA, proteomic, ATACseq, ChipSeq, RNAseq, WGS data.

Matiss is passionate in biological research and software engineering best practices. Particularly with a focus on pipeline development, statistical inference, machine learning & deep learning, full stack web development, multi-omics applied to investigate human genetics and proteomics to answer biological questions in genetic associated diseases with particular emphasis on cardiovascular and dermatological fields. During PhD he focused on biomarker discovery and validation and developed deep learning and proteomic approaches to predict and validate novel bioactives.

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