"Shayan stood out for his creativity, cross-disciplinary thinking, and valuable contributions to the model's global sensitivity analysis."
Bioinformatics ยท Systems Biology ยท ML
Turning biological data
into insight.
I work across transcriptomics, systems biology, and mathematical modeling โ building reproducible analyses and clean visualizations in R, Python, and Julia.
01 โ About
Who I am
I am a computational biologist working at the intersection of bioinformatics, biotechnology, and quantitative biology. I develop reproducible computational pipelines, analyze complex biological datasets, and apply statistical, machine learning, and modeling approaches to study biological systems. My interests include multi-omics data analysis, biomarker discovery, systems biology, and computational methods for advancing biomedical research and biotechnology applications.
02 โ Gallery
Photos
03 โ Testimonials
What colleagues say
"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."
"Shayan ranks among the top students I have supervised, combining technical skill, intellectual curiosity, and strong scientific communication."
"Shayan combines strong scientific intuition with precise and reliable work, with an impressive ability to connect laboratory insight and computational analysis."
04 โ Projects
Selected work
Mathematical Modelling of Nurse Macrophage-Driven Erythropoiesis Disruption in AML
ODE-based modeling and global sensitivity analysis of AML-driven disruption of erythropoiesis, with biologically grounded hypothesis generation.
SIR Epidemic Simulation (EVD in West Africa)
Julia-based Ebola simulation with the SIR model, interactive parameter tuning, realistic epidemic curves, and optional GIF animation.
Single-cell RNA-seq Pipelines
scRNA-seq preprocessing, clustering, and differential expression with Seurat/Scanpy; pathway enrichment and network analysis.
05 โ Publications
Scholarly Outputs
Remodeling of nurse macrophages and erythroblastic islands contributes to the loss of bone marrow erythropoiesis in acute myeloid leukemia
Manuscript under review (anticipated 2025โ2026)
From tumor pathways to blood signature: A machine-learning-validated 5-miRNA signature for the early detection of gastric cancer
Preprints.org ยท Under review
View Preprint โPeritoneal metastasis prediction in gastric cancer: A machine learning approach
medRxiv ยท Under review
View Preprint โInvestigating the use of nanobodies and biotechnology methods in cancer treatment
1st International Congress of Cancer Genomics, Tehran, Iran, May 3โ5 2023
View Publication โ06 โ Illustrations
Scientific Illustrations
Figures and graphical abstracts designed for research papers and presentations.
