Molecular genetics
Research experience in cytogenetics, hematologic malignancies, DNA extraction, PCR, sequencing and molecular assays.
Molecular genetics × Clinical diagnostics × HEALTH DATA & AI
Turning biological complexity into clearer clinical insight.
I’m Saman Raftari, a molecular genetics and clinical diagnostics professional with more than five years of industry experience, now developing Python, machine-learning and healthcare-data projects in cytogenetics and hematologic malignancies.
GRCh38 · chr17 · TP53
SIGNAL / INSIGHT
Variant classificationPathogenic · VUS · Benign
5+ yearsClinical applications experience
50+Healthcare & business projects
AI + HealthMichener Institute at UHN
Science that works in the real world.
My work sits between molecular biology, diagnostic technology, clinical education and data. I translate complex scientific systems into workflows that healthcare professionals can understand, trust and use.
Clinical diagnostics
Implementation, validation, user training, workflow optimization and troubleshooting across hospital and laboratory settings.
Responsible health AI
Building interpretable, privacy-conscious projects that connect healthcare domain knowledge with reproducible data science.
Experience
A career grounded in laboratory science, customer-facing clinical applications and hands-on problem solving.
Clinical / Field Applications Specialist · Siemens Healthineers
Led instrument implementation, validation, training and post-installation support across molecular diagnostics, immunoassays, chemistry, blood gas and point-of-care testing.
Volunteer Research Assistant · University of Montreal
Supported statistical analysis, literature review, manuscript development, data collection and research documentation.
Artificial Intelligence in Healthcare · The Michener Institute at UHN
Expanded practical knowledge of health AI, data-informed care and the responsible development of healthcare technology.
Research
Selected work in cytogenetics and myeloid malignancies, connecting chromosome-level abnormalities with clinically meaningful risk patterns.
Frequency of 17p Abnormalities in Iranian Patients with Acute Myeloid Leukemia
S. Raftari, A. Mirzaei, M. Yaghmaei and A. Ghavamzadeh · Pediatric Blood & Cancer
Cytogenetic analysis of TP53, PDGFRA and JAK2 abnormalities in myeloid malignancies
University of Tehran · MSc in Cellular and Molecular Biology / Genetics · Grade A+ (19.25/20)
Projects
Portfolio work designed to demonstrate the intersection of clinical domain expertise, transparent modelling and thoughtful communication.
Held-out model performance
0.816ROC AUC on synthetic AML data
Featured health AI project
Explainable AML Cytogenetic Risk Explorer
An educational machine-learning prototype using fully synthetic data to explore how cytogenetic, molecular and laboratory variables influence an interpretable model.
Open Live Project ↗ View Source Code ↗Transparent ISCN parsing
8/8Automated parser tests passed
Featured cytogenetics informatics project
ISCN Cytogenetic Intelligence Explorer
A transparent Python and Streamlit prototype that parses synthetic ISCN-style karyotypes into chromosome gains, losses and structural events, with explainable 17p, complex and monosomal pattern flags.
Open Live Project ↗ View Source Code ↗Privacy-by-design registry engineering
180Fully synthetic hematology records
Featured health informatics project
Hematology Data Quality & Registry Builder
A privacy-by-design health-informatics prototype that transforms a synthetic legacy-style hematology spreadsheet into a standardized, quality-scored and analysis-ready registry.
Open Live Project ↗ View Source Code ↗Cross-disease cytogenetic atlas
800
Fully synthetic hematology cases
Featured molecular genetics project
Synthetic 17p Cytogenetic Atlas
An interactive educational atlas exploring fictional chromosome 17p patterns, co-abnormalities, and cytogenetic features across AML, ALL, CML and MDS using fully synthetic data.
Open Live Project ↗ View Source Code ↗// CONTACT
Let’s Connect
Open to conversations about clinical diagnostics, molecular genetics, health informatics, AI in healthcare and research collaboration.
saman.raftari@yahoo.com