Fernando Palluzzi
Senior Data Scientist - Integrated Omics And Biomarker Discovery
Copenhagen, Capital Region of Denmark
Summary
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Senior🎓
Top SchoolFernando Palluzzi is a Senior Data Scientist with 7 years of experience marrying causal inference, graph-based learning and complex network analysis to biomarker discovery, clinical trial design and omics integration. He has led multidisciplinary projects at Novo Nordisk and major Italian research centers, developing causal frameworks, multimodal imaging–proteomics integration, and multistage risk predictors for metabolic disease. Equally at home in Python and R, he builds production-ready statistical software (including the SEMgraph R package) and reproducible pipelines for sequencing, neuroimaging and proteomics data. His work uniquely blends theoretical causal modeling with hands-on engineering—authoring tools for NGS indexing, LSTM-based antigen–antibody forecasting and consensus peak rescue—enabling both discovery and deployable clinical research solutions. Based in Milan, he combines academic rigor from top Italian institutions with industry impact in integrated omics and biomarker programs.
6 years of coding experience
2 years of employment as a software developer
University of BolognaPostgraduate Diploma, Bioinformatics, Excellent, Postgraduate Diploma, Bioinformatics, Excellent at Università degli Studi di SienaErasmus Mundus Joint Master Degree Programme, Bioinformatics, Erasmus Mundus Joint Master Degree Programme, Bioinformatics at Universitat Pompeu FabraBachelor's degree, Biology, 103/110, Bachelor's degree, Biology, 103/110 at Sapienza Università di Roma
Italian, English
Github Skills (10)
causal10
genome-analysis10
seq10
structural-equation-modeling10
equation10
next-generation-sequencing10
factorization10
modeling9
chip-seq9
network-analysis8
Programming languages (3)
Github contributions (5)
fernandoPalluzzi/VarHound
Dec 2021 - Nov 2022
VH is a suite for genomic variant storage, retrieval, and validation through coverage analysis.
Contributions:2 releases, 8 PRs, 75 pushes in 11 months
validationgenomicsbioinformaticscoverageretrieval
fernandoPalluzzi/SEMgraph
Nov 2019 - Feb 2023
Causal Structure Learning and Network Analysis with Structural Equation Modeling.
Contributions:19 releases, 335 commits, 63 PRs in 3 years 2 months
structure-learningequationdataminingfactorizationcausal
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