Mehrad Mahmoudian

Postdoctoral Researcher at Turun yliopisto - University of Turku

Turku, Southwest Finland, Finland
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Summary

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Mehrad Mahmoudian is a postdoctoral computational bioinformatician with 11 years of experience building interpretable machine-learning models and stable feature-selection methods for high-dimensional biomedical data. Based at Turku Bioscience Centre, he develops reproducible diagnostics and biomarker discovery pipelines—most notably the Stable Iterative Variable Selection (SIVS) method implemented as an open-source R package—and applies them to complex diseases including cancers and Type 1 Diabetes. He pairs rigorous statistical modeling (RNA-seq, RRBS, ChIP-Seq, proteomics, survival analysis) with close clinician collaboration to translate computational signals into clinically meaningful endpoints. A longtime advocate of open science and FOSS, he contributes localization work to widely used projects such as Flameshot and maintains community-first repositories on Codeberg, reflecting a practical focus on usability and reproducibility.
code11 years of coding experience
job10 years of employment as a software developer
bookPET (Preliminary English Test), English Language and Literature, General, PET (Preliminary English Test), English Language and Literature, General at Amir english institute
bookDoctor of Philosophy (PhD), Bioinformatics, Doctor of Philosophy (PhD), Bioinformatics at Turun yliopisto
bookBachelor of Science (B.Sc.), Cellular and Molecular Biology - Microbiology, Bachelor of Science (B.Sc.), Cellular and Molecular Biology - Microbiology at Azad University of Lahijan
bookHighschool Diploma, Highschool Diploma at Sama 1 highschool
languagesPersian, English, Finnish
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Github Skills (14)

internationalization10
localization10
translation10
r9
qt9
plot9
windows-gui7
type-conversion6
readr6
casting6
glmnet6
ggplot6
verbosity6
dataframe6

Programming languages (29)

CDMakefileGoCommon LispHTMLTypeScriptR

Github contributions (5)

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flameshot-org/flameshot

Sep 2020 - Jul 2022

Powerful yet simple to use screenshot software :desktop_computer: :camera_flash:
Role in this project:
userLocalization / Internationalization Specialist
Contributions:82 reviews, 28 commits, 66 PRs in 1 year 10 months
Contributions summary:Mehrad's contributions primarily involve translating the Flameshot software into Persian. They consistently submit commits that incorporate translations using Weblate, increasing the Persian translation percentage across various strings. Their work focuses on updating the `Internationalization_fa.ts` file, indicating a key role in adapting the software's user interface for Persian-speaking users. The commits demonstrate a commitment to improving the user experience for non-English speakers.
windowselectronscreenshotcamerasimple-yet-powerful
mmahmoudian/sivs

Sep 2020 - Feb 2023

An iterative feature selection method that internally utilizes varius Machine Learning methods that have embeded feature reduction in order to shrink down the feature space into a small and yet robust set.
Contributions:3 releases, 60 commits, 4 PRs in 2 years 5 months
embedediterativemethodmachine-learningreduction
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Mehrad Mahmoudian - Postdoctoral Researcher at Turun yliopisto - University of Turku