Open to new opportunities

Mohammed
Sunoqrot

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

I take AI from research to reality. 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.

See My Work Get In Touch Scholar
Mohammed Sunoqrot PhD · AI
0
USD Funding Secured
0
AI Systems Shipped
0
Experience with AI
0
Stakeholders Engaged
0
Patient Data Managed
0
Cloud Users Onboarded
0
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 of experience at the intersection of artificial intelligence, biomedical engineering, and translational healthcare innovation.

My flagship achievement is PROVIZ — an AI-based decision-support system for prostate MRI that I drove 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.

I bring a rare combination of deep technical expertise (machine learning, deep learning, radiomics, Python) and product leadership skills (roadmapping, stakeholder management, regulatory compliance), exactly what organizations need to turn AI research into real-world healthcare products.

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, privacy impact assessment and technical files for SaMD.
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.

Core Expertise

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 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
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 — increasing TRL from 2 to ~7.
Secured and managed 8M NOK (~$800K) in grants, enabling productization, validation, and commercialization readiness.
Designed and ran prospective clinical study (NCT06000046) integrating PROVIZ into routine MRI workflow — 115+ patients enrolled.
Authored EU MDR-aligned documentation: risk management, clinical evaluation, and technical files (CIV-NO-23-04-042915; KULMU A 479272).
Translated feedback from 25+ clinicians and analysis of 20+ competing solutions into product backlog and prioritized roadmap.
Initiated talks with 10+ medtech and AI companies, generating 3+ qualified partnership and deployment opportunities.
AI Product Management EU MDR Clinical Trials Grant Funding Deep Learning Python
Jan 2022 — Jul 2022
Innovation & Product Manager
Norwegian University of Science and Technology (NTNU), Trondheim, Norway
Turned PROVIZ from research output into defined product concept — mapping clinical needs, analysing competitors, defining value propositions for radiologists and hospitals.
Managed 600K NOK innovation programme, setting milestones and KPIs that raised business readiness from TRL 1 to 3.
Led patenting activities as co-inventor (PCT/EP2023/061976), working with NTNU TTO on IP strategy and licensing options.
Coordinated workshops with 15+ external stakeholders to stress-test go-to-market assumptions and identify pilot paths.
Innovation Management IP Strategy Market Analysis Stakeholder Engagement
Aug 2021 — Jan 2022
Researcher
Norwegian University of Science and Technology (NTNU), Trondheim, Norway
Developed GAN, CNN, and radiomics-based pre-processing and detection methods for MRI image analysis.
Consortium member in PI-CAI grand challenge — benchmarking AI against radiologists on 10,000 prostate MRI exams.
Supervised 4 students and taught 2 master's-level modules on AI for radiography students.
GANs CNNs Radiomics PI-CAI
May 2018 — Dec 2025
Data & Cloud Manager (Part-time)
Norwegian University of Science and Technology (NTNU), Trondheim, Norway
Administered 6 HUNT Cloud research labs (Linux), ensuring GDPR-compliant handling of sensitive patient data.
Built and maintained data pipelines for 5,000+ patient prostate MRI cohorts (20+ TB).
Onboarded 40+ researchers and clinicians; resolved 200+ support requests, reducing low-quality scans by ~60%.
Linux GDPR Data Pipelines Cloud Infrastructure
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 (MRI normalization) and pyPSQC (segmentation QC) — open-source Python tools used globally.
Published 3 first-author papers; helped secure follow-on funding for the research programme.
PhD Research Open Source nnU-Net Scientific Writing
Flagship Project

PROVIZ — From Research
to Clinical AI Product

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
Capabilities

Skills & Expertise

AI & Machine Learning

Deep Learning (CNNs, GANs, nnU-Net)
Radiomics & Feature Engineering
Image Segmentation & Detection
Model Validation & Benchmarking
Decision Support Systems
AI Performance Evaluation

Product & Project Leadership

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

Regulatory & Clinical

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

Programming & Data

Python (primary)
MATLAB
GitHub / Version Control
Linux / Shell Scripting
Large-scale Data Pipelines
Research Cloud Infrastructure

Medical Imaging

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

Research & Communication

Scientific Writing (17+ papers)
Peer Review (50+ completed)
International Conference Presentations
Student Supervision (7 students)
Invited Talks (Siemens, ISMRM)
Interdisciplinary Collaboration

Languages

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

Software Contributions

🩻

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
Research Output

Selected Publications

17+ 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, Segre R, Nketiah GA, Davik P, Sjøbakk TAE, Langørgen S, Elschot M, Bathen TF
02

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

European Radiology Experimental 6, 35 · 2022
Sunoqrot MRS, Saha A, Hosseinzadeh M, Elschot M, Huisman H
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, Langørgen S, Wang H, Selnæs KM, Bertilsson H, Bathen TF, Elschot M
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, Nketiah GA, Selnæs KM, Bathen TF, Elschot M
05

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

Diagnostics 10, 714 · 2020
Sunoqrot MRS, Selnæs KM, Sandsmark E, Nketiah GA, Zavala-Romero O, Stoyanova R, Bathen TF, Elschot M
06

The Reproducibility of Deep Learning-Based Segmentation of the Prostate Gland and Zones on T2-Weighted MR Images

Diagnostics 11, 1690 · 2021
Sunoqrot MRS, Selnæs KM, Sandsmark E, Langørgen S, Bertilsson H, Bathen TF, Elschot M
07

Label-set impact on deep learning-based prostate segmentation on MRI

Insights Imaging 14, 157 · 2023
Meglič J, Sunoqrot MRS, Bathen TF, Elschot M
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

PROVIZ proof-of-technology clinical study

NTNU & St. Olavs Hospital · 2023–2025
Project Leader & Manager

PROVIZ innovation six months program

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

Send a Message