Ziaul Hoque
Data ML Scientist At HUS
Finland
Summary
👤
Senior🎓
Top SchoolZiaul Hoque is a Data/ML Scientist and postdoctoral researcher with eight years of experience applying machine learning and deep learning to medical image analysis and AI-driven clinical decision support. Based in Finland, he develops standardized, scalable AI pipelines for cyclic immunofluorescence and thymic histology at HUS while supervising programming exercises and advising graduate theses at the University of Oulu. His work bridges academia and translational healthcare—publishing multiple Q1 journal articles during his D.Sc. and collaborating internationally at the University of Florida and Alberta on cancer and skin‑lesion studies. Beyond algorithm design, he focuses on practical deployment and reproducibility, turning complex biomedical image workflows into production-ready, interpretable solutions.
8 years of coding experience
2 years of employment as a software developer
Doctor of Science - D.Sc (Tech), Computer Science and Engineering, Studies: 5/5, Dissertation: Compilation of six Q1 journal publications., Doctor of Science - D.Sc (Tech), Computer Science and Engineering, Studies: 5/5, Dissertation: Compilation of six Q1 journal publications. at University of Oulu
English, FinnishGithub contributions (5)
ziaul55/COVID-19-Detection
Dec 2021 - Mar 2022
Contributions:66 commits, 64 pushes, 1 branch in 3 months
ziaul55/Retinex-Model-Based-Stain-Normalization
Jul 2021 - Mar 2022
Contributions:53 commits, 52 pushes, 1 branch in 7 months
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