Research profile

Cancer bioinformatics, from the bench to the evidence.

I am Hossein Nasouti, a cancer researcher at the University of Turin working across bioinformatics, computational biology, and wet-lab molecular biology. My work connects the experiments that generate cancer data with the computational methods that interpret it.

What I do

Three connected pillars

Sequencing & cytometry data

Next-generation sequencing (NGS) and next-generation flow cytometry (NGF) applied to minimal residual disease in multiple myeloma, integrated with PET/CT imaging and FISH evidence.

NGSNGFMinimal residual diseaseMultiple myelomaFISH

Computational analysis

Bioinformatics and computational biology workflows in Python and R: processing molecular data, statistical analysis, and clear data visualization for research communication.

PythonRData visualizationComputational biology

Bench-integrated bioinformatics

Computational questions grounded in the experiments that generate the data: RNA and DNA extraction, reverse-transcription and real-time PCR, Western blot, 3D cell culture, and organ-on-chip models.

RT-PCRReal-time PCRWestern blotOrgan-on-chip3D cell culture

Research in context

University of Turin
2026 — Now

RYK signaling in B-cell malignancies

As an AIRC Research Fellow at the University of Turin (group of Prof. Silvia Deaglio), I study the expression and function of the noncanonical WNT co-receptor RYK in chronic lymphocytic leukemia (CLL) and diffuse large B-cell lymphoma (DLBCL), combining molecular biology with computational analysis.

2022 — 2025

Minimal residual disease in multiple myeloma

Hematology research connecting hands-on sample preparation with next-generation flow cytometry, NGS, FISH, and PET/CT evidence to study residual disease — a setting where bioinformatics turns complex measurements into clinical insight.

2023 — 2024

Cell physiology and imaging analysis

Experimental work with MCF7 cell cultures linking calcium signaling and reactive oxygen species to fluorescence microscopy and time-lapse analysis.

Techniques

Experimental & computational
NGSNGFWestern blotRNA extractionDNA extractionReverse-transcription PCRReal-time PCRFISH3D cell cultureOrgan-on-chipPythonRData visualizationFluorescence microscopyTime-lapse analysis

Related writing

Publications
Collaboration

Working on cancer data?

Open to collaborations in cancer bioinformatics, computational biology, and translational research.