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@naeimehhosseini
PhD candidate and computational bioengineer specializing in spatial multi-omics analysis.
I am a PhD candidate and computational bioengineer with a strong foundation in mechanical engineering and computational science, combining engineering, biomedicine, and computer science to advance biomedical research.
I have led computational workflows for spatial multi-omics data integration, modeled complex fluid–biostructure interactions, and developed high-performance simulation tools, contributing to research at Helmholtz Munich and Technical University of Munich.
I am skilled in C++, Python, high-performance computing, numerical modelling, and machine learning, and I seek opportunities to apply these strengths to interdisciplinary projects that push biomedical innovation.
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Work history, roles, and key accomplishments
Helmholtz Munich
Jun 2022 - Present (3 years 5 months)
Developing computational workflows for spatial multi-omics data analysis, integrating spatial transcriptomics with metabolomics/lipidomics to enable high-resolution biological insights.
Technical University of Munich
Apr 2017 - Mar 2021 (3 years 11 months)
Modeled and simulated interactions between complex fluids and bio-structures for the EU NANOSHOCK project, advancing understanding of manufacturing shock interactions at the nanoscale.
Technical University of Munich
Jun 2016 - Mar 2017 (9 months)
Developed code and features for the DEAL.II finite element library supporting plasma physics applications and numerical methods research.
Technical University of Munich
Apr 2015 - Mar 2016 (11 months)
Simulated blood flow and monitored blood pressure for medical procedure research, contributing to computational models and validation of clinical measurements.
Technical University of Munich
Oct 2014 - Mar 2015 (5 months)
Calibrated 3D ultrasound systems and supported imaging research to improve measurement accuracy and experimental reproducibility.
Degrees, certifications, and relevant coursework
PhD Candidate, Bioengineering / Computational Biology
2023 -
PhD candidate conducting research in bioengineering and spatial multi-omics data analysis, integrating spatial transcriptomics and metabolomics/lipidomics.
Master of Science, Computational Science & Engineering
2014 - 2017
Grade: GPA 1.4 (German grading system)
Completed a Master of Science in Computational Science & Engineering with a thesis developing a computational finite element model exploring anisotropy in extracellular matrices.
Bachelor of Science, Mechanical Engineering
2008 - 2013
Grade: GPA 2.0 (German grading system)
Completed a Bachelor of Science in Mechanical Engineering; thesis on conceptual design of an ultrasound-activated piezoelectric micro-generator for implanted MEMS devices.
Software and tools used professionally
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