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.
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.
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.
Bioinformatics and computational biology workflows in Python and R: processing molecular data, statistical analysis, and clear data visualization for research communication.
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.
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.
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.
Experimental work with MCF7 cell cultures linking calcium signaling and reactive oxygen species to fluorescence microscopy and time-lapse analysis.
HIV/AIDS — Research and Palliative Care
Biomaterials · Systems immunology · Precision medicine
Open to collaborations in cancer bioinformatics, computational biology, and translational research.