Anestis Gkanogiannis, PhD

Anestis Gkanogiannis, PhD

Bioinformatics and Machine/Deep Learning Scientist

Biography

I am an award-winning researcher with a strong background in Bioinformatics, Computational Biology, Artificial Intelligence and Machine Learning and with strong analytical skills and problem-solving capabilities.

I am currently working as a Bioinformatics Scientist at the International Center for Biosaline Agriculture (ICBA) in Dubai, UAE.

I have extensive experience in algorithm construction and prototype software development, with a focus on NGS data analysis/integration/visualization, Computational Biology, Comparative Genomics, Genomic Selection, Artificial Intelligence, Machine Learning, Deep Learning, Big Data Mining, Classification, Clustering, Algorithms and Data Structures, and HPC cluster and systems management. I am proficient in programming languages such as C++, Java, R, and Android development, as well as Nextflow pipeline development and Docker/Singularity container development.

Download my resumé.

Interests
  • Bioinformatics, Computational Biology
  • Machine/Deep Learning
  • Artificial Intelligence
  • Information Retrieval
  • Electronics prototyping (RPi, Arduino)
Education
  • PhD in Machine Learning, 2011

    Athens University of Economics and Business

  • MSc in Machine Learning, 2005

    Athens University of Economics and Business

  • BSc in Physics, 2003

    University of Crete

Skills

bioinformatics
Bioinformatics

90%

artificial-intelligence
AI

90%

machine-learning
Machine Learning

90%

deep-learning
Deep Learning

80%

rpi
Electronics

80%

hpc
HPC

80%

java
Java

90%

R

80%

c
C/C++

80%

linux
UNIX/Linux

90%

mathematics
Mathematics

80%

physics
Physics

80%

Experience

 
 
 
 
 
International Center for Biosaline Agriculture, ICBA
Bioinformatics Scientist
Dec 2022 – Present Dubai, United Arab Emirates
De novo Reference Genome assembly, Reference Genome annotation, Population Genomics
 
 
 
 
 
Gene Regulation, Stem Cells and Cancer, CRG
Bioinformatician
Apr 2022 – Nov 2022 Barcelona, Catalonia, Spain
Cancer metabolism, NGS data analysis (RNA-Seq, ATAC-Seq, Nanopore, WGS, etc.), Nextflow pipeline development, Bioconductor R packages development, CRISPR gene screening, Computational Biology
 
 
 
 
 
Agrobiodiversity Research Area, CIAT/CGIAR
Research Scientist / Bioinformatics Head
Jan 2017 – Mar 2021 Cali, Valle de Cauca, Colombia
Plant Genomics/Genetics/Bioinformatics (Cassava, Rice, Bean, Forages), NGS data analysis, Computational Biology, Population Genomics, GWAS, Genomic Selection, Machine Learning, Artificial Intelligence, Big Data
 
 
 
 
 
Intégration de données (Equipe ID), CIRAD/BIOS/AGAP
Post-Doctorate Research Fellow
Jun 2015 – Dec 2016 Montpellier, Languedoc-Roussillon-Midi-Pyrénées, France
Research Scientist, Computational Biology, Software Analyst/Developer, Web Developer: RTB (Roots Tubers and Banana).
 
 
 
 
 
Laboratoire de Génomique et Biochimie du Métabolisme(LGBM), CEA/DSV/IG/Genoscope/LGBM
Post-Doctorate Research Fellow
Jun 2013 – Jun 2015 Evry, Île-de-France, France
Research Scientist, Machine Learning and Computational Biology, Software Analyst/Developer (in cooperation with CEA LIST): MetaTarget
 
 
 
 
 
University of New Brunswick, Faculty of Computer Science
Post-Doctorate Research Fellow
Oct 2011 – Mar 2013 Fredericton, NB, Canada
Research Scientist, Machine Learning, Artificial Intelligence, Software Analyst/Developer and Project Manager, I-AID: Intelligent Analysis of Information and Dissemination

Publications

(2025). Uncovering the Genetic Blueprint of the UAE’s National Tree: Genomic Evidence to Guide Prosopis cineraria (L.) Druce Conservation. bioRxiv.

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(2025). Exploring Proso Millet Resilience to Abiotic Stresses: High-Yield Potential in Desert Environments of the Middle East. Agronomy.

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(2025). Fast and accurate imputation of genotypes from noisy low-coverage sequencing data in bi-parental populations. PLOS ONE.

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(2024). Nuclear localization of MTHFD2 is required for correct mitosis progression. Nature Communications.

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(2024). Mining genomic regions associated with agronomic and biochemical traits in quinoa through GWAS. Scientific Reports.

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