About Me

 

Experienced computational biologist and bioinformatician with a strong scientific and technical background, including 7 years of expertise in genomics/transcriptomics, data analysis, statistics, and machine learning.


I currently work as a Postdoc - Bioinformatics at IBENS (Paris, France).


Previously, I was a Research Fellow at the GIGA institute (Unit of Human Genetics and BIO3), Liege, Belgium.


I hold a PhD in Bioinformatics (cancer genomics), a master's degree in Bioinformatics and Modeling from the University of Liege, and a degree in Computer Science Engineering from the University of Tizi-Ouzou.


I have authored 7+ publications in peer-reviewed scientific journals, released two software tools, and implemented/deployed an lncRNA database. I have presented scientific results at international conferences.


ORCID     Google Scholar     Research Gate     LinkedIn     ORBI     ahmedebit@gmail.com

Research

I utilize machine learning, algorithmic, and statistical methodologies to analyze genomics and transcriptomics data in order to address questions concerning planktonic marine microorganisms.

 

As modern genomic and transcriptomic techniques produce huge amounts of data, machine learning methods are well suited to address problems in these fields.

 

My current research projects involve identifying and characterizing long non-coding RNAs (lncRNAs) in various microalgae and macroalgae species, implementing a machine learning-based tool to enhance the prediction and reliability of lncRNAs, building a SQL database to compile lncRNAs from over 414 microplanktonic species, studying intergenic and antisense long non-coding RNAs in diatom models Phaeodactylum tricornutum and Thalassiosira pseudonana in response to different environmental stresses, analyzing data from the Phaeoexplorer project to investigate the synteny and conservation of mRNAs and lincRNAs across a panel of nine multicellular species, including the brown algae model Ectocarpus siliculosus sp7.

 

My past research activities included using circulating miRNAs as biomarkers for Breast Cancer (BC) screening in Belgian and Rwandan women, developing a novel (machine learning based) feature selection method (stabFS), designing an integrative signature to predict response to Neoadjuvant Chemotherapy (NAC) treatment in breast cancer. For that, I developed an optimized machine learning pipeline aimed at discovering short molecular biomarker signatures that can be used in clinics.

 

My current and previous research projects have led me to work with genomes and transcriptomes from unicellular and multicellular organisms across various groups of Eukaryota, including humans, mice, microplankton, and macroalgae, and to address different questions related to these organisms.

Conferences

 

 

 

 

Talks

 

Towards an Accurate Cancer Diagnosis Modelization: Comparison of Random Forest Strategies.

International Genetic Epidemiology Society IGES, 28th Annual Meeting, Houston TX, 2019        

 

Biomarker Signatures Discovery to Support Cancer Diagnosis: Towards an Accurate and Robust Machine Learning Strategy.

SAB Medical-Genomics, Liege, Belgium, 2019        

 

Algorithm Optimization for Diagnostic/Prognostic Signature Discovery in the Context of Breast Cancer.

GIGA Cancer, Liege, Belgium, 2018        

 

Towards an Accurate Cancer Diagnosis Modelization: Comparison of Random Forest Strategies.

ByteMal, Liege, Belgium, 2018        

 

 

 

Posters

 

SCANS: Assessing lncRNA conservation across species

JOBIM, 8-11 July 2025, Bordeaux        

 

LncPlankton V1.0: a comprehensive collection of plankton long non-coding RNAs.

exRNA Research and Innovation to Improve Human and Plant Health, 11–13 June 2025, Hamburg        

 

LncPlankton V1.0: a comprehensive collection of plankton long non-coding RNAs.

8th European Phycological Congress, 20-26 August 2023, Brest        

 

Cellular and molecular characterization of short- and long-term hyposaline acclimation in a marine diatom: insights into the noncoding realm.

8th European Phycological Congress, 20-26 August 2023, Brest        

 

Towards an Accurate Cancer Diagnosis Modelization: Comparison of Random Forest Strategies.

19th BeSHG meeting Precision Medicine: Application of Genetics in Prevention and Treatment, Liege, March 2019        

 

Towards an Accurate Cancer Diagnosis Modelization: Comparison of Random Forest Strategies.

Joint meeting GIGA-Cancer Day 2018/EDT Cancerology, Liege, September 2018        

 

Normalization and correction for batch effects via RUV for RNA-seq data: practical implications for Breast Cancer.

European Society of Human Genetics (ESHG 2017), Copenhagen, May 2017        

 

 

 

Workshops

 

Applying the System Medicine Approach with Bioinformatics Tools in Research (OpenMultiMed), COST Action CA15120, TranslaTUM

Munich Germany, 18-20 March 2020        

 

Elixir-IIB Carpentry Software

University of Milano Bicocca, February 22-23, 2018        

 

Open Multiscale Systems Medicine (OpenMultiMed): Computational Tools for Systems Medicine, COST Action CA15120

MC Meeting Porto, Portugal, 20-23 February 2017        

 

Multi-Omic Integrative Analysis of Gene Expression (MIAGE)

CIPF Valencia (Spain), 23-27 January 2017        

 

WG2 COST Training Workshop on Interactions in Complex Disease Analysis

Antwerp, 27-28-29 April 2016        

 

NGS Data Analysis: Variant calling and RNA-Seq

4 Days Workshop VIB Leuven (08/01, 15/01, 22/02, 26/02) 2016        

 

Resume

 

 

 

Download a PDF version of my resume

Location

75005 Paris, France

Email

ahmedebit@gmail.com

Call Me

+33 (0)688196974

Copyright © Ahmed Debit 2025