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I am a Medical Imaging and AI specialist with a focus on MRI analysis, multimodal biosignal processing, and machine learning for clinical applications. I build reproducible imaging pipelines, develop deep learning architectures, and perform quantitative validation across MRI, spectroscopy, and physiological data.…

ZAHRA FARSHIDROKH

Data Scientist, AI Engineer, Full Stack Developer, +2

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I am a Medical Imaging and AI specialist with a focus on MRI analysis, multimodal biosignal processing, and machine learning for clinical applications. I build reproducible imaging pipelines, develop deep learning architectures, and perform quantitative validation across MRI, spectroscopy, and physiological data.…

Available to hire

I am a Medical Imaging and AI specialist with a focus on MRI analysis, multimodal biosignal processing, and machine learning for clinical applications.

I build reproducible imaging pipelines, develop deep learning architectures, and perform quantitative validation across MRI, spectroscopy, and physiological data.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Dutch

Advanced

Work Experience

Machine Learning Researcher – Time Series & Forecasting System at SkillMix

September 1, 2025 - Present

Analyzed multivariate time-series features in perturbations for short- and medium-horizon forecasting, focusing on structural dependencies over black-box accuracy. Studied system dynamics, external shocks, regime changes, and cross-system interactions. Designed and implemented a model interpretability and diagnostics framework using SHAP, LIME, and feature attribution methods. Performed feature ablation and baseline experiments to quantify contributions across regimes. Evaluated forecasting under heterogeneous conditions and communicated findings through technical reports and stakeholder presentations.

Research Intern at University Medical Center Utrecht (UMC)

April 1, 2025 - August 1, 2025

Processed ECG/SCG signals using wavelets and filtering to support clinical imaging analyses. Developed real-time motion tracking algorithms for integration into MRI workflows. Collaborated with clinicians and physicists to refine methods for clinical applicability. Translated electrophysiological signals into quantitative metrics applicable to in-vivo neural research.

AI Research Engineer at Medical Imaging Clinic

January 1, 2023 - January 1, 2025

Developed, trained, and evaluated deep learning models (U-Net, VAE, CNNs) for medical image segmentation, registration, reconstruction, and classification. Built reproducible imaging pipelines integrating classical algorithms (Elastix, SimpleITK) with modern AI frameworks (PyTorch, MONAI). Performed quantitative validation using Dice, Hausdorff, MI, and NCC, and optimized models for clinical-grade reliability. Collaborated with clinicians and imaging scientists to translate research models into deployable tools.

Researcher & Fabrication Engineer at Plasma Fanavar Jam Co.

January 1, 2021 - January 1, 2023

Designed and fabricated plasma reactors, integrating physics principles with laboratory instrumentation. Conducted experimental validation using diagnostic tools such as FTIR and GC-MS. Managed structured data collection, signal analysis, and experimental reporting. Ensured safety, calibration accuracy, and reproducibility in all laboratory operations.

Researcher & Fabrication Engineer at Behesh t University

January 1, 2020 - January 1, 2021

Supported plasma reactor experiments and setup optimization for spectroscopy studies. Trained students in laboratory methods, instrument handling, and experimental workflows. Performed spectroscopy measurements and analyzed plasma-related physical phenomena. Assisted research teams with instrument fabrication, calibration, and maintenance.

Clinical Data Analyst – Imaging & Biosignal Integration at KIO Medical

January 1, 2018 - January 1, 2020

Processed, cleaned, and analyzed multimodal clinical datasets (MRI, MRS, ECG/SCG) to extract quantitative biomarkers and study metrics. Developed data preprocessing workflows, harmonization procedures, and automated QC tools for large imaging cohorts. Created statistical reports, visualizations, and analysis summaries for clinicians and researchers. Ensured data integrity, standardization, and compliance with clinical research protocols (DICOM/NIfTI formats, anonymization).

Applied Machine Learning Engineer – Healthcare / Imaging at CardioCan

January 1, 2017 - January 1, 2018

Built and optimized machine learning models for healthcare applications such as diagnosis support, risk prediction, or imaging-based decision tools. Integrated multimodal inputs (imaging, spectroscopy, physiological signals) into ML pipelines. Deployed scalable ML solutions with automated monitoring, model validation, and reproducibility using CI/CD and Python-based frameworks.