Lassi Paavolainen
Principal Investigator
Helsinki, Finland
Summary
👤
Senior🎓
Top SchoolLassi Paavolainen is a Principal Investigator based in Helsinki with 10+ years of experience developing novel machine learning and deep learning methods for profiling microscopy images of cells and tissues. He leads the Bioimage Profiling lab at FIMM where his work spans supervised and unsupervised learning, segmentation, classification and generalist models applied to fluorescence microscopy of cancer samples. His background combines hands-on software development (Python/C++), open-source bioimage tool development, and leadership of imaging facilities and research projects, bridging methodological research and applied profiling pipelines. Notably, he has steered both high-content imaging units and AI efforts that translate electron and light microscopy innovations into practical assays for drug sensitivity and virus detection.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Jyväskylä
Finnish, English, Swedish
Github Skills (38)
morphology10
image-analysis9
cellprofiler9
django8
machine-learning7
roi7
laplacian7
nuclei-detection7
web-application6
flask5
pytorch5
python4
transform3
segment3
watershed3
Programming languages (7)
Github contributions (5)
Neubias-WG5/W_NucleiSegmentation-CellProfiler
Jul 2018 - Nov 2020
Contributions:26 releases, 31 pushes, 1 branch in 2 years 5 months
lopaavol/OPutils
Jun 2020 - Feb 2023
Contributions:1 release, 5 pushes, 1 branch in 2 years 9 months
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