Accomplished research scientist with extensive experience in imaging, image processing, and volumetric data analysis. With a PhD in Physics from the University of Jyväskylä, I develop computational tools for scientific imaging, particularly in X-ray tomography. My work focuses on automated image processing pipelines and integrating machine learning to enhance microscopy and tomography analysis. I specialize in image processing, reconstruction, and analysis for large-scale volumetric datasets.
ProgrammingPython 3, C++, C, MatLab, Java, MPI, OpenCL
Image ProcessingNumPy, std::vector, ImageJ
Machine LearningPyTorch, scikit-learn, XGBoost, TensorFlow
Technical reporting LATEX, reveal.js
2021–Independent Researcher, Rakta Network Oy, Finland
- Offer consulting and software development services for mathematical and scientific applications, specializing in imaging, image processing, and analysis for large-scale volumetric data.
2018–2021Research Scientist, University of California, San Francisco
- Provided computational support for internal and collaborative research projects at the National Center for X-ray Tomography.
- Maintained and developed the automated image processing pipeline.
- Integrated modern machine learning techniques into soft X-ray tomography
2016–2018Postdoctoral Scholar, University of California, San Francisco
- Managed the image processing pipeline at the National Center for X-ray Tomography
- Worked on transforming raw images into final volumetric representations for both fluorescence and X-ray microscopes, ensuring high-quality results for scientific analysis.
- Developed and integrated a fully automatic alignment procedure into the image processing pipeline, reducing the time from acquisition to visualization from approximately 30 hours to 5 minutes.
2011–2016Doctoral Student, University of Jyväskylä, Finland
- Conducted extensive theoretical and numerical research on random deposition networks, focusing on the impact of steric hindrance (physical obstruction) between constituents.
- Demonstrated that steric hindrance significantly influences the contact formation and statistical properties of these networks, even in dilute systems.
- Advanced the understanding of how physical obstructions impact the connectivity and formation of contacts in random fiber networks.
2010–2011Research associate, University of Jyväskylä, Finland
- Utilized micro- and nano-scale X-ray CT to analyze paper and cardboard structures.
- Developed and implemented quantitative analysis tools for 3D tomographic images.
- Enhanced material characterization techniques through multidisciplinary collaboration.
March 2016Doctor of Philosophy in Physics, University of Jyväskylä
April 2011Master of Science in Physics, University of Jyväskylä
April 2011Bachelor of Science in Physics, University of Jyväskylä
SwedishNative (C2)FinnishNative (C2)
EnglishAdvanced (C1)GermanElementary (A2)
2025-04-03