Miguel Oliveira
Associate Director - Data Science, Neuroscience And Semantics
Basel, Basel-City, Switzerland
Summary
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Senior🎓
Top SchoolMiguel Oliveira is an Associate Director of Data Science at Novartis with 11 years of experience applying computational biology, semantics and FAIR data principles to neuroscience and biomedical R&D. He holds a PhD in Systems Biology and Neuroscience and has led interdisciplinary projects that span constraint-based metabolic modelling, connectome-informed disease propagation and manual curation of neuroprotective targets. At Novartis he drives digital transformation by bridging semantic models, enterprise data governance and applied analytics to make complex clinical and biomedical data reusable and actionable. A persistent open-source contributor, he improved analysis and visualization tools in the widely used COBRA Toolbox to support metabolic model tutorials and cardiac applications. He combines rigorous wet-lab training in neurodegeneration with advanced data science, a mix that helps translate biological insight into reproducible computational models. Based in Basel, he is known for securing competitive research funding and for turning detailed literature curation into scalable knowledge assets.
11 years of coding experience
11 years of employment as a software developer
MSc Medical Biochemistry, MSc Medical Biochemistry at University of LisbonPhD in Biology Systems Biology and Neuroscience, PhD in Biology Systems Biology and Neuroscience at University of Luxembourg
Portuguese, English, Spanish, French
Github Skills (11)
constraint-layout10
constraint10
matlab10
constraint-satisfaction10
cobra10
modeling10
data-visualisation9
data-visualization9
data-visualizations9
heatmap9
user-manual8
Programming languages (2)
Github contributions (5)
opencobra/cobratoolbox
Dec 2017 - Aug 2018
The COnstraint-Based Reconstruction and Analysis Toolbox. Documentation:
Role in this project:
Data Scientist
Data ScientistContributions:19 commits, 1 issue in 7 months
Contributions summary:Miguel primarily contributed to the development and refinement of functions for analyzing and visualizing essential reactions within constraint-based metabolic models. Their work included creating a function to plot essential reactions based on specific conditions, adjusting the function for tutorial usage and compatibility with older versions of Matlab. They also integrated the functions and updated the tutorial using cardiac models.
microbiome-analysisgap-fillingmetabolic-reconstructioncobra-toolboxomics-data-integration
mapoliveira/portfolioDataScience
Oct 2018 - Dec 2018
Contributions:33 pushes, 1 branch in 2 months
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