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PhD Researcher
Data scientist at KTH Royal Institute of Technology who developed spatial reconstruction algorithms for 100M nodes, cutting computation from months to minutes.
SpainPhD Researcher at KTH Royal Institute of Technology
Applied statistics and Machine Learning to large-scale biological data, developing projects end to end with biotech collaborators. Designed scalable ML algorithms for spatial reconstruction, improving accuracy to 96% and reducing time complexity from O(n²) to O(n).
PythonSQLRMachine LearningStatistical MethodsData VisualizationData PipelinesETLAWSDockerGitGraph MLNetwork AnalysisTechnical Documentation
PhD in Biotechnology and Network Science, applying statistics and machine learning to large-scale biological data.
MSc in Theoretical Physics from KTH Royal Institute of Technology.
BSc in Physics from the University of Barcelona.
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