About Luca
Informatiker und Doktorand am Universitätsklinikum Heidelberg mit Schwerpunkt auf der Entwicklung KI-gestützter Methoden zur medizinischen Bildanalyse. Mit einem Hintergrund in Biomedizintechnik und Medizinischer Informatik verbinde ich klinische Radiologie mit Deep Learning — und übersetze komplexe medizinische Anforderungen in robuste, praxistaugliche Lösungen. Erfahren sowohl in der forschungsorientierten Modellentwicklung als auch in klinischer IT-Infrastruktur, von der Trainingspipeline für Segmentierungsnetzwerke bis hin zur PACS-Anbindung und containerisierten Datenverarbeitung.
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Computer Scientist and Doctoral Researcher at University Hospital Heidelberg, developing AI-driven methods for medical image analysis with a focus on automated detection and quantification of pulmonary embolism. With a background in Biomedical Engineering and Medical Computer Science, I bridge the gap between clinical radiology and deep learning — translating complex medical requirements into robust, deployable solutions. Experienced in both research-oriented model development and hands-on clinical IT infrastructure, from training segmentation networks to managing PACS integration and containerized data pipelines.
German
Native or bilingual
English
Native or bilingual
Italian
Fluent
Remote only
Primarily works remotely
Experience
- University Hospital HeidelbergDoctoral ResearcherRESEARCHJuly 2023 - Today (2 years and 11 months)Heidelberg, BW, GermanyDoctoral Researcher working on improvement of pulmonary embolism detection and risk stratification using AI
- Development and training of deep learning models for automated segmentation of anatomic regions using modern AI model architectures
- Design of multi-stage AI pipelines combining segmentation, classification, and quantification, incorporating topology-aware losses and iterative refinement approaches
- Processing and conversion of medical imaging data between DICOM, NIfTI, and MATLAB formats using SimpleITK, nibabel, and scikit-image
- Application of advanced image processing techniques including Frangi vesselness filtering, medical image registration, and 3D segmentation refinement in 3D Slicer
- Statistical evaluation of model performance using DeLong, McNemar, and Mann-Whitney U tests with metrics such as Dice coefficient and Hausdorff distance (HD95)
- Curation and quality control of a large-scale dataset of 500+ expert-segmented CT scans in collaboration with trained radiologists
- Department of Diagnostic and Interventional RadiologyScientific AssociateMEDICALSeptember 2022 - Today (3 years and 9 months)Heidelberg, Germany
- Administration and maintenance of Linux-based research servers including containerized services managed via Docker
- Management of clinical imaging data transfer workflows and PACS integration using ADIT/OpenRadx with Orthanc DICOM servers
- Development of automated data processing pipelines and batch transfer scripts in Python and bash
- Setup and maintenance of PostgreSQL databases for structured clinical and research data
- Troubleshooting and optimization of DICOM transfer protocols and presentation context negotiation across clinical and research networks
- Version control and reproducibility management using Git across collaborative research projects
- Department of Diagnostic and Interventional Radiology University Hospital HeidelbergStudent Research AssistantApril 2021 - February 2022 (10 months)Heidelberg, BW, GermanyWorking in the Institute of Medical Biometry and Informatics - Department of Medical Informatics as a working student
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Education
- Design Thinking – Probleme interdisziplinär lösenDesign Thinking – Probleme interdisziplinär lösen
- Master of ScienceRuprecht-Karls-Universität Heidelberg2021Master of Science