Mahshad Sa
Quantitative Medical Imaging Scientist | MRI, Imaging Biomarkers & Clinical Modelling
Hire this person
Send a job offer directly to this candidate
About
Physician-researcher specialising in quantitative medical imaging, imaging biomarkers and clinical modelling.
Experience designing and validating MRI-based biomarkers against clinical reference standards, building reproducible Python analysis pipelines, and modelling clustered clinical data with explicit attention to calibration, generalisation and clinical utility. Leads quantitative IBD imaging studies spanning MRI methodology, GIQuant-derived motility, multimodal biomarker integration and clinician-facing research tools, with UK and international academic-industry collaborators.
Experience
Research Associate - Quantitative Imaging & Clinical AI at Department of Radiology, Shariati Hospital, Tehran University of Medical Sciences (2024-01 – Present)
UK/US research collaboration
- Lead quantitative MRI biomarker studies in a prospective ulcerative colitis cohort of 49 patients and 245 colonic segments, integrating MRE, endoscopy and faecal calprotectin.
- Designed imaging quality-control criteria, feature definitions and analysis plans for validation of GIQuant-derived colonic motility and bowel-wall biomarkers against the Mayo Endoscopic Subscore.
- Built a Bayesian multilevel prediction model accounting for patient-level clustering; evaluated discrimination, calibration, grouped validation and clinical utility to generate new-patient risk estimates.
- Develop reproducible Python/DICOM pipelines and clinician-facing Streamlit research tools; maintain version-controlled analyses and DOI-archived open outputs.
- Collaborate with Motilent, UCL-linked investigators, NHS radiologists and international IBD researchers on study design, interpretation, manuscripts and conference outputs.
- Develop clinical NLP workflows for structuring and de-identifying abdominal radiology reports using rule-based and LLM-assisted extraction.
Research Assistant - Imaging & Clinical Data Science at Shahid Beheshti University of Medical Sciences (2022-01 – 2024-12)
- Supported CT/MRI research across protocol review, dataset construction, quality control and statistical analysis; contributed to PanCanAID data/segmentation workflows and diagnostic-pathway analyses integrating imaging and clinical data.
General Practitioner at Valiasr Local Medical Center (2022-01 – 2024-12)
Medical Intern at Teaching hospitals (2020-01 – 2022-12)
Education
Doctor of Medicine in Medicine – Shahid Beheshti University of Medical Sciences (2015-02 – 2022-05)
