“Shayan stood out for his creativity, cross-disciplinary thinking, and valuable contributions to the model’s global sensitivity analysis.”
Dr. Marc Sturrock
Master’s Thesis Supervisor, RCSI, Ireland
Turning biological data into insight.
I work across transcriptomics, systems biology, and modeling. Explore my projects, publications, and get my CV below.
Quick facts
- 🎓 MSc in Medical Biotechnology (UPO, Italy)
- 🔬 Erasmus+ researcher at RCSI Dublin
- 🧮 Modeling: Julia, R, Python
- 📍 Novara, Italy · Dublin, Ireland
R
Python
Julia
WGCNA
DE
GSEA
Cytoscape
About
I'm a computational biologist focused on biomarker discovery and systems modeling. I build reproducible analyses and clean visualizations, typically in R/Python, and I prototype mathematical models (ODEs) in Julia.
Testimonials
“When working with student communities, you quickly notice who truly wants to learn. Shayan is a wonderful example of that group: dedicated, growth-driven, and eager to enrich any team he joins.”
Dr. Iuliia Novoselova
Head of Office, West German Genome Center | Scientific Community Manager | Mentor
“Shayan ranks among the top students I have supervised, combining technical skill, intellectual curiosity, and strong scientific communication.”
Dr. Mohammadreza Azimi
Full Professor, Department of Artificial Intelligence, Riga Stradins University
“Shayan combines strong scientific intuition with precise and reliable work, with an impressive ability to connect laboratory insight and computational analysis.”
Dr. Justyna Malecka
Mentor and Lecturer, Università del Piemonte Orientale (UPO)
Projects
Master Thesis: Mathematical Modelling and Sensitivity Analysis of Nurse Macrophage-Driven Erythropoiesis Disruption in Acute Myeloid Leukemia
A computational and systems biology study of AML-driven disruption of erythropoiesis, integrating ODE-based modelling, sensitivity analysis, and biologically grounded hypothesis generation.
BioLionaire Scientist: Volume 6 – Code Empire
A co-authored volume exploring computational biology, bioinformatics, genomics, artificial intelligence applications, and biotechnology innovation and business strategy.
View on Amazon Repo
SIR Epidemic Simulation (EVD in West Africa)
A Julia-based simulation of Ebola Virus Disease spread in West Africa using the classic SIR model, with interactive parameter tuning, realistic epidemic curves, high-quality plots, and optional GIF animation.
Repo
Peritoneal Metastasis Prediction
Transcriptomics + ML for biomarker panels and peritoneal metastasis prediction; external GEO validation.
View Repo
Single-cell Pipelines
scRNA-seq preprocessing, clustering, and DE with Seurat/Scanpy; pathway enrichment and network analysis.
Repo
5-miRNA Signature for Early Detection of Gastric Cancer
A machine learning-validated study identifying a 5-miRNA blood signature for the early detection of gastric cancer, published as a preprint and currently under review.
View RepoPublications & Scholarly Outputs
- Mosteo, …, Sturrock, M., Jalali, S., Lo Celso, C., & Duarte, D.* (2025). Remodeling of nurse macrophages and erythroblastic islands contributes to the loss of bone marrow erythropoiesis in acute myeloid leukemia — Manuscript under review (anticipated publication 2025–2026)
- Hassani, S., Momeni, M., Siahtiri, M., Massahi, S., Jalali, S., Salehi, S., & Gholaminejad, A.* (2025). From tumor pathways to blood signature: A machine-learning-validated 5-miRNA signature for the early detection of gastric cancer. Preprints.org — View Preprint | Preprint (under review)
- Jalali, S., Dadkhah, K., & Mirsaeid Ghazi, M. (2025). Peritoneal metastasis prediction in gastric cancer: A machine learning approach. medRxiv — View Preprint | Preprint (under review)
- Jalali, S. (2023). Investigating the use of nanobodies and the use of biotechnology methods in cancer treatment. 1st International Congress of Cancer Genomics, Tehran, Iran, May 3–5 2023 — View Publication | Published / Presented
- Jabbarzadeh Kaboli, P., Jalali, S., Mohammadalizadeh Rami, S., & Salahi, S. (2026). BioLionaire Scientist: Volume 6 – Code Empire. OncoVanguard Media, LLC. Co-authored volume on computational biology, bioinformatics, genomics, artificial intelligence applications, and biotechnology innovation and business strategy — View on Amazon
Contact
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