Mickael Leclercq

Research Associate

Quebec, Canada
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Summary

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Senior
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Top School
Mickael Leclercq is a research-focused computational biologist and software-savvy scientist with over a decade of experience combining computer science and molecular biology to tackle large-scale genomics problems. Holding a PhD from McGill, he has led machine learning and multi-omics projects, built a bioinformatics big-data platform with ElasticSearch, and published on microRNAs in high-impact journals. As a Research Associate he supervises teams, represents labs at conferences, writes grant applications, and maintains the lab’s computing and web infrastructure—bridging hands-on systems administration with algorithmic development. Resourceful and largely self-taught, he frequently develops new tools and skills to solve practical research challenges and has experience running analyses on supercomputers. Based in Quebec, he pairs deep academic rigor with pragmatic engineering, from database and web design to scalable ML workflows for bioinformatics.
code10 years of coding experience
job2 years of employment as a software developer
bookBaccalauréat Francais, Science, Baccalauréat Francais, Science at Lycée Victor Hugo, Caen, France
bookMaster's degree (M.Sc), Computer Science, Master's degree (M.Sc), Computer Science at Université du Québec à Montréal / UQAM
bookDoctor of Philosophy (PhD)/Doctorat, Computer Science/Informatique, Doctor of Philosophy (PhD)/Doctorat, Computer Science/Informatique at McGill University
languagesFrench, English
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Github Skills (16)

feature-selection10
office3659
linux8
onedrive7
bioinformatics-analysis6
siren4
microsoft4
statistics3
bioinformatics3
next-generation-sequencing3
elasticsearch2
natural-language-processing2
kibana2
multimodal2
data-analysis1

Programming languages (6)

TypeScriptJavaC++DJavaScriptPython

Github contributions (5)

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mickaelleclercq/mirdup

Jan 2016 - Nov 2019

Contributions:1 release, 2 pushes, 1 branch in 3 years 10 months
mickaelleclercq/BioDiscML

Aug 2018 - Dec 2022

Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data
Contributions:19 releases, 216 commits, 99 pushes in 4 years 4 months
feature-selectionbioinformatics-tool
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