Cecilia Wieder

WORK HISTORY

EDUCATION

ABOUT CECILIA WIEDER

Data Scientist (PhD) with 5+ years academic and industrial experience applying and developing methods for biological data analysis. My key interests revolve around developing interpretable AI/machine learning models for complex multi-omics dataset integration, biomarker discovery, and patient stratification. Python enthusiast and developer of open-source bioinformatics software for the research community (https://github.com/cwieder).What I do• Integrating multi‑omics and clinical datasets to uncover mechanistic insights • Developing interpretable AI/ML models for translational research• Applying statistical models to reveal actionable insights in large, complex datasets• Building scalable analysis pipelines in Python• Collaborating with cross‑functional teams across biology, data science, and clinical research• Contributing specialist skills in computational metabolomics and proteomics data analysis• Specialist domain knowledge in neurodegenerative disease and immunology My approach• Providing clear, focused, and innovative solutions• Balancing methodological rigour with practical impact• Communicating complex ideas simply and effectivelyI am always keen to connect with fellow researchers and developers working at the intersection of data science and drug discovery 🧬