Arian Abdipour
GENTT
Summary
Bioinformatics and nutrition scientist with expertise in DNA methylation, epigenetics, and computational biology. Proficient in R, Python, and machine learning. Strong background in omics data analysis and high-performance computing. Committed to leveraging data-driven insights for advancements in biotech, pharma, and precision medicine. Skilled in research methodologies and passionate about scientific discovery. Demonstrates proficiency in data analysis and laboratory techniques, with the ability to quickly acquire new skills. Excited to apply and further develop analytical and technical skills.
Overview
4
4
years of professional experience
Work History
Research Intern – Epigenetic Biomarker Discovery
INSERM - Institute Cochin
03.2025 - Current
- Conducting bioinformatics analysis to identify CpG sites associated with sarcoma for further wet lab validation.
- Applying DNA methylation analysis techniques to explore epigenetic modifications as potential biomarkers.
- Collaborating with a wet lab-focused research team to interpret bioinformatics findings for experimental validation.
- Utilizing R and Bioconductor tools to process and analyze DNA methylation data.
- Supporting the team by bridging the gap between bioinformatics and molecular biology for translational research.
Community Health Nutrition Intern
Lorestan University of Medical Sciences
02.2022 - 04.2022
- Completed 306 hours of internship at the PHC system with a focus on marginal and rural areas at
2 different sites. - Diet modification and nutrition counseling to low-income families in marginal and rural areas.
Dietetics Intern
Lorestan University of Medical Sciences
09.2021 - 01.2022
- Completed rotations across 9 specialized departments (GI, Endocrinology, Cardiology, ICU)
- Demonstrated high performance across all rotations (average score >17/20)
- Improved patient nutritional outcomes by conducting thorough dietary assessments and creating tailored meal plans.
- Educated patients on the importance of proper nutrition, resulting in increased adherence to dietary recommendations and improved health outcomes.
- Provided medical nutrition therapy to individuals and groups with chronic illnesses.
Education
Master of Science - Bioscience Engineering: Nutrition and Food Systems
Ghent University
Belgium, Ghent06-2025
Data Science Professional Certificate -
IBM
Online07.2023
Bachelor of Science - Nutrition Sciences
Lorestan University of Medical Sciences
Iran09.2022
Skills
- Epigenomics & Bioinformatics
DNA methylation analysis
DMP/DMR detection
Pathway enrichment
Batch correction - Machine Learning & Data Science
Deep learning
Transfer learning
Statistical modeling
Feature engineering
- Programming & Computational Tools
Python
R
SQL
HPC - Research & Problem-Solving
Data interpretation
Experimental design
Collaboration
Adaptability
Research
Master's Thesis: Effect of Balanced Energy-Protein supplementation during pregnancy and breastfeeding on infants DNA Methylation profile - MISAME III RCT, 05/25
Investigating the impact of Balanced Energy-Protein supplementation during pregnancy on infant DNA methylation using data from the WHO International Agency for research on Cancer (IARC) Epigenomics group under an approved collaboration.
Developed MICEify, a custom imputation tool, for chromosome-specific MICE imputation.
Analyze Illumina Epic 850k array data and identified epigenetic patterns linked to maternal nutrition.
References
- Dr. Trenton Dailey-Chwalibog (trenton.daileychwalibog@ugent.be)
- Dr. Thanos Mouchtaris-Michailidis (thanosmichailidis@ugent.be)
Projects
- Maize Leaf Disease Classification (December 2024)
Developed an image recognition system using Swin Transformer in PyTorch for plant disease detection.
Achieved 97.89% F1-score across four leaf conditions with a mean confidence of 0.9969.
Demonstrated the adaptability of deep learning from plant phenotyping to potential biomedical imaging applications.
- CRISPROutcome-ML: CRISPR-Cas9 Repair Outcome Prediction (October 2024)
Designed an ML pipeline to predict repair outcomes after CRISPR-Cas9 genome edits.
Engineered feature extraction for nucleotide patterns and cut-site contexts.
Utilized LightGBM with bagging, achieving R² = 0.55 for insertion predictions.
Showcased strong ensemble learning techniques for genomic data analysis.
Timeline
Research Intern – Epigenetic Biomarker Discovery
INSERM - Institute Cochin
03.2025 - Current
Community Health Nutrition Intern
Lorestan University of Medical Sciences
02.2022 - 04.2022
Dietetics Intern
Lorestan University of Medical Sciences
09.2021 - 01.2022
Master of Science - Bioscience Engineering: Nutrition and Food Systems
Ghent University
Data Science Professional Certificate -
IBM
Bachelor of Science - Nutrition Sciences
Lorestan University of Medical Sciences
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