Open to new opportunities

Mohammed
Sunoqrot

AI Product Leader, Manager & Builder
PhD · 9+ Years of Experience in AI

I take AI from research to reality — and I still build the thing myself. A decade spanning ML research, product strategy, funding, prospective trials, and EU MDR regulatory filings has given me a rare vantage point. I understand AI deeply enough to push it forward, and practically enough to know what's worth building.

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Mohammed Sunoqrot PhD · AI
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USD Funding Secured
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AI Products Shipped
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Experience with AI
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Stakeholders Engaged
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Patient Data Managed
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Cloud Users Onboarded
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Peer-Reviewed Papers
About Me

Where AI Innovation Meets Reality

I am an AI Product Leader, Manager and Researcher with a PhD in Medical Technology from NTNU and 9+ years spent where machine learning, biomedical engineering, and healthcare product delivery intersect. I bring a rare combination of deep technical fluency in machine and deep learning with the product, regulatory, and stakeholder skills needed to turn research and ideas into something that actually ships.

My flagship project, PROVIZ, took an AI decision-support system for prostate MRI from early-stage research (TRL 2) to a clinically validated, EU MDR-aligned product (TRL ~7). Along the way, I secured $800K+ in grants, designed and ran a prospective clinical study with 115+ patients, authored regulatory documentation, and built collaborative pipelines with radiologists, IT engineers, and medtech companies. More recently I have been shipping smaller, faster projects solo: an AI regulatory assistant and a bilingual PWA, both live today.

Deep AI Expertise

CNNs, GANs, XGBoost, Radiomics, nnU-Net.
Not just a PM who talks about AI, but someone who builds it.

EU MDR, GDPR & Regulatory Fluency

Authored risk management, clinical evaluation, and technical files for SaMD under EU MDR and GDPR.
A leader with deep regulatory expertise.

Proven Product-to-Market Track Record

Moved PROVIZ from TRL 2 to ~7, conducted prospective clinical study, initiated 10+ industry partnership talks.
Someone who already brought AI products to light.

At a Glance

AI Product Management Product Roadmapping Go-to-Market Strategy Stakeholder Management Cross-functional Teams Budget Management EU MDR / SaMD GDPR Compliance Clinical Validation Deep Learning Machine Learning Medical Imaging AI Computer Vision MLOps Model Evaluation Python RAG / LLM Apps Data Pipelines Data Governance Radiomics Prostate MRI

Profiles & Links

LinkedIn GitHub Google Scholar ORCID — 0000-0001-9239-1683 NVA Research Profile

Education

PhD · Medical Technology
NTNU, Norway · 2017–2021
Computer-Aided Diagnosis of Prostate Cancer Using Multiparametric MRI
MSc · Biomedical Engineering Distinction
University of Dundee, UK · 2015–2016
BSc · Biomedical Engineering
German-Jordanian University · 2009–2014
Exchange year at Koblenz University of Applied Sciences, Germany
Portfolio

Selected Projects & Products

Flagship Case Study
Prospectively Validated

AI-Powered
Prostate Cancer
Detection on MRI

PROVIZ is a fully automated AI decision-support system that analyses prostate MRI, outputs cancer probability & detection maps, and assists radiologists in detecting clinically significant tumours. I led/co-led this system from an early research project to a prospectively validated, EU MDR-aligned clinical software.

TRL 2→7
Technology Readiness
115+
Patients Enrolled
$800K+
Funding Raised
2026
Published in Insights Imaging

Development Journey

Phase 1 — Algorithm R&D

Selected and helped in the development of deep learning and radiomics pipelines for prostate cancer detection, segmentation, and normalization on biparametric MRI.

Phase 2 — Innovation & IP

Formalized product concept, conducted market analysis, and filed international patent PCT/EP2023/061976 through NTNU TTO.

Phase 3 — Regulatory & MDR

Authored complete EU MDR technical documentation for SaMD (Software as a Medical Device), obtained ethics and regulatory approvals.

Phase 4 — Clinical Validation

Designed and ran prospective clinical study (NCT06000046) at St. Olavs Hospital, integrating PROVIZ into routine radiology workflow.

Patent Filed: PCT/EP2023/061976 — Machine & deep learning solutions for radiology
Featured Applications — Designed & Built Solo
5 jurisdictions: SFDA, UAE DoH, Qatar MOPH, EU MDR, US FDA
Fully bilingual — English & Arabic, with source citations in both
Side-by-side comparison mode across two jurisdictions
Every answer cited to source document & page, exportable to PDF/Word
AI Regulatory Assistant · RAG

Healdar — Health AI Regulatory Navigator

A bilingual RAG assistant that gives grounded, source-cited answers to health-AI regulatory questions across the Gulf, Europe, and the US. PDF ingestion, ChromaDB retrieval, Groq/Llama generation, and a Streamlit front end.

Python Streamlit RAG ChromaDB LLM
Check Beta Version GitHub
Customer Payment Tracker — follow-up view Customer Payment Tracker — customer detail Customer Payment Tracker — customer list
Installable PWA · Live Demo

Customer Payment Tracker · متابعة الدفعات

An installable PWA for tracking daily customer follow-up calls and payment collection — multi-currency balances, check handling, an AI-generated call plan, and a natural-language Q&A assistant over your own data. Zero backend, runs entirely in the browser, full RTL/LTR mirroring.

React 19 LLM Tailwind CSS PWA
Check Live Demo GitHub
Research Tools & Open Source
🩻

pyAutoRef

Automated dual-reference tissue normalization of T2-weighted prostate MRI images using object recognition. Available via pip install pyAutoRef.

Python MRI Normalization pip package
✅

pyPSQC

Fully automated quality control system for prostate segmentation on T2W MRI. Generates quality scores and classes for automated segmentation pipelines. Also available via pip.

Python Segmentation QC pip package
🤖

PCaGAN

Generative Adversarial Networks for automated prostate cancer detection on biparametric MRI. Research collaboration benchmarking GAN architectures for cancer detection.

Python GANs Prostate Cancer
✏️

Segmentation Reproducibility

Investigation of radiomics feature reproducibility and the impact of deep learning-based prostate segmentation variations on downstream analysis and clinical studies.

Radiomics Reproducibility Deep Learning
🏆

PI-CAI Grand Challenge

Consortium member in the Prostate Imaging Cancer AI initiative — a major international benchmarking challenge built on 10,000+ MRI exams from 9,000+ patients across 4 European centres, involving 830+ AI developers from 50+ countries.

Consortium 10K+ Exams Benchmarking
📊

POT-Analysis

Clinical analysis pipeline for the PROVIZ proof-of-technology study — evaluating AI diagnostic performance vs. expert radiologists in prostate MRI interpretation, using PI-RADS v2.1 standards and biopsy-confirmed findings.

Clinical Validation Python Statistical Analysis Prostate MRI
Capabilities

Skills & Expertise

AI & Machine Learning

Deep Learning (CNNs, GANs, U-Net, YOLO)
Machine Learning (Logistic Regression, LASSO, XGBoost)
GenAI (LLM, RAG, Vibe Coding)
Radiomics & Feature Engineering
Model Validation & Benchmarking

Product & Project Leadership

Product Vision & Roadmapping
Stakeholder Management
Backlog & Prioritization
Grant Writing & Budget Management
Cross-functional Team Leadership

Regulatory & Clinical

EU MDR (SaMD) Documentation
GDPR-compliant Data Handling
AI Act Awareness
Clinical Study Design & Execution
Ethics & Regulatory Approvals

Programming & Data

Python
MATLAB
Linux / Shell Scripting
Large-scale Data Pipelines
GitHub / Version Control

Medical Imaging

Medical Image Analysis & Computer-Aided Diagnosis
Prostate MRI (mpMRI / bpMRI)
MRI Pre-processing & Normalization
Radiology Workflow Integration
DICOM & Clinical Data Formats

Research & Communication

Scientific Writing (18+ peer-reviewed papers)
Peer Review (50+ completed)
Invited Talks (Siemens, ISMRM)
Conference Presentations
Student & Thesis Supervision (7 students)

Languages

🇸🇦
Arabic
Native
🇬🇧
English
Fluent
🇳🇴
Norwegian
Intermediate
🇩🇪
German
Basic
Career

Professional Experience

Career Highlights

Led 800K+ USD R & D portfolio
Ran prospective clinical trial
EU MDR regulatory filings
Patent Co-inventor
Administered 6+ cloud labs
Supervised 7 graduate students
Jul 2022 — Dec 2025
Postdoctoral Researcher — AI Product & Project Lead
Norwegian University of Science and Technology (NTNU), Trondheim, Norway
Led PROVIZ, an AI MRI decision-support system for prostate cancer, from concept to clinically tested product — TRL 2 to ~7.
Secured and managed 8M NOK (~$800K) in grants; designed and ran a prospective clinical study (NCT06000046) with 115+ patients.
Coordinated with 25+ clinicians, IT engineers, and fellow researchers — translating feedback and analysis of 20+ competing solutions into a prioritized product roadmap.
Authored EU MDR-aligned regulatory documentation and obtained the ethics and regulatory approvals needed for clinical deployment.
Led commercialization efforts: initiated talks with 10+ medtech and AI companies, generating 3+ qualified partnership and deployment opportunities.
Jan 2022 — Jul 2022
Innovation & Product Manager
Norwegian University of Science and Technology (NTNU), Trondheim, Norway
Turned PROVIZ from research output into a defined product concept — market analysis, value propositions, and a 600K NOK innovation programme.
Led patenting as co-inventor (PCT/EP2023/061976) and ran stakeholder workshops to validate go-to-market assumptions.
Aug 2021 — Jan 2022
Researcher
Norwegian University of Science and Technology (NTNU), Trondheim, Norway
Developed GAN, CNN, and radiomics-based methods for MRI image analysis.
Consortium member in the PI-CAI grand challenge; supervised 4 students and taught 2 master's-level modules.
May 2018 — Dec 2025
Data & Cloud Manager (Part-time)
Norwegian University of Science and Technology (NTNU), Trondheim, Norway
Administered 6 GDPR-compliant HUNT Cloud research labs and built data pipelines for 5,000+ patient MRI cohorts (20+ TB).
Onboarded 40+ researchers and clinicians, resolving 200+ support requests.
Mar 2017 — Aug 2021
Doctoral Researcher
Norwegian University of Science and Technology (NTNU), Trondheim, Norway
Developed ML & DL models for multiparametric prostate MRI cancer detection and localization.
Created and released pyAutoRef and pyPSQC — open-source Python tools used globally; published 3 first-author papers.
Research Output

Selected Publications

18+ journal papers · 30+ conference abstracts · 1 book chapter · H-index 9

Google Scholar ORCID NVA
01

Prospective validation of an AI software for detecting clinically significant prostate cancer on biparametric MRI

Insights into Imaging 17, 20 · 2026
Sunoqrot MRS, et al.
02

Artificial intelligence for prostate MRI: open datasets, available applications, and grand challenges

European Radiology Experimental 6, 35 · 2022
Sunoqrot MRS, et al.
03

A comparison of Generative Adversarial Networks for automated prostate cancer detection on T2-weighted MRI

Informatics in Medicine Unlocked 39, 101234 · 2023
Patsanis A, Sunoqrot MRS, et al.
04

Automated reference tissue normalization of T2-weighted MR images of the prostate using object recognition

Magnetic Resonance in Materials in Physics 34, 309–321 · 2021
Sunoqrot MRS, et al.
05

A Quality Control System for Automated Prostate Segmentation on T2-Weighted MRI

Diagnostics 10, 714 · 2020
Sunoqrot MRS, et al.
View all 18+ publications on Google Scholar
Secured Funding

Grants & Projects

Total Funding Portfolio
Secured & Managed

From Norwegian Cancer Society and Digital Life Norway to NTNU Discovery and the Liaison Committee between Central Norway Health Authority and NTNU — a track record of winning competitive research funding.

8M+
NOK (~$800K USD)
Principal Investigator

PROVIZ: Advancing AI decision support towards industry deployment

Norwegian Cancer Society · 500K NOK · 2026
Principal Investigator

AI-based decision support system for detection and localization of prostate cancer

Liaison Committee NTNU & Central Norway Health Authority · 4M NOK · 2022–2025
Project Co-leader

PROVIZ II: Readying for commercialization

Digital Life Norway · 1.5M NOK · 2024–2025
Project Co-leader

Deep radiomics decision support system for prostate cancer management

NTNU Discovery Main Grant · 1M NOK · 2024–2025
Project Leader & Manager

PROVIZ innovation six months program

Digital Life Norway Innovation Pilot · 600K NOK · 2022
Recognition

In the Media

The Forge 2025 cohort group photo
Centre for Digital Life Norway · Sep 2025

The 2025 Forge Concludes: Norway's First National Biotechnology Accelerator Builds Critical Mass for Innovation

Wrap-up of Norway's national biotech accelerator, part of the same Digital Life Norway innovation network that has supported PROVIZ's own commercialization programmes.

Shifter.no news feature image
Shifter.no · Jun 2024

Forskere med startupambisjoner sikrer millionstøtte til utvikling av kreftdiagnostikk

National tech-news coverage of PROVIZ's funding round, with the team's plans for clinical trials and spinning out a company within the year.

PROVIZ team
Centre for Digital Life Norway · Jun 2024

PROVIZ Receives Funding from Innovation Roadmap and NTNU Discovery

PROVIZ secured 2.5M NOK combined — including a renewed Digital Life Norway Innovation Roadmap pilot — to build out its regulatory and clinical commercialization path.

NTNU Discovery grant recipients group photo
NTNU Discovery · Jun 2024

4,6 millioner til «morgendagens helter»

NTNU Discovery awarded 4.6M NOK across six research-based startup projects, including PROVIZ, to help translate research into companies.

REACH Cohort 2023–24 cover image
Nordic Innovation House, Silicon Valley · Oct 2023

REACH Cohort 2023–24

PROVIZ selected as one of eight Nordic research teams for REACH, a six-month research-commercialization accelerator with in-person and virtual programming in Silicon Valley.

The PROVIZ research team at St. Olavs Hospital
NTNU Discovery · Nov 2022

Utvikler bedre verktøy for diagnostikk av prostatakreft

Feature on PROVIZ, the AI-powered MRI software developed at NTNU to help radiologists detect prostate cancer and reduce unnecessary biopsies.

PROVIZ team on a video call at their Innovation Six Month Programme wrap-up meeting
Centre for Digital Life Norway · Sep 2022

PROVIZ Team Completes Digital Life Norway's Innovation Six-Month Programme

The six-month innovation grant let the team focus on commercializing the prostate cancer AI — resulting in a patent application and new industry partnerships.

Winning team of the University of Turku Design Thinking course
University of Turku · Jan 2022

Students Solved Real-Life Challenges on Design Thinking Course — Winning Team's Solution Addressed Drug Waste in Hospitals

A week-long Nordic cross-university Design Thinking course — Mohammed was on the winning team, with a solution (Medsafe) tackling medication waste in hospitals.

Get In Touch

Let's Connect

I am open to opportunities in AI product leadership, management, and translational AI research. Whether you are building a team, exploring collaboration, or want to discuss AI in healthcare or translation,I would love to hear from you.

mohammed.sunoqrot@gmail.com
linkedin.com/in/mohammed-r-s-sunoqrot
Trondheim, Norway
Open to relocation for the right opportunity.

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