Machine Learning Engineer · PhD in Computer Science

Research
Engineering.

I'm Youssef Assis. A machine learning engineer with a research background in computer science. My work focuses on adapting computer vision and AI for healthcare applications.

I'm interested in building systems that transition theoretical models into practical clinical workflows.

Scroll

A brief look at my path

How I approach building and integrating machine learning models into clinical environments.

My academic journey began with mathematical modeling in Morocco, followed by a PhD in Medical AI at INRIA in France. I chose to focus on medical imaging because it offers a direct path to applying AI for the benefit of patient care.

I currently work as an R&D Engineer at DentalMonitoring in Paris, where I develop and maintain machine learning models within a global clinical pipeline.

My work spans the full model lifecycle:

  • Translating clinical needs into technical requirements
  • Prototyping and validating ML solutions
  • Deploying models into production environments
  • Monitoring performance and ensuring reliability over time

I'm especially motivated by continuous learning,collaboration, and applying AI to solve real-world challenges in healthcare.

Data-Centric

Prioritizing data & labels quality over quantity, especially for small or imbalanced clinical datasets.

Evaluation & Validation

Validating models against real clinical workflows using strong statistical methods.

Documentation

Structuring research and production work for clarity, reuse, and maintainability.

Skills & Technologies

An overview of the languages, frameworks, and tools I use in my daily work.

Deep Learning & AI

Designing, training, and evaluating architectures for complex 2D and 3D computer vision tasks.

PyTorchTensorFlowScikit-learnTransformersCNNs

Medical Imaging

Handling standard volumetric formats and interacting directly with clinical visualization software.

DICOM & NIfTIMONAISimpleITKTorchIO3D Slicer

MLOps & Pipelines

Ensuring strict reproducibility, experiment tracking, and clean model deployment into production.

DockerMLflowW&BGit CI/CDDVCPoetry

Clinical Validation

Evaluating model safety and efficacy against strict clinical standards and regulatory frameworks.

BootstrappingFDA GuidanceNon-inferiorityMetrics

Languages & Core

Writing performant, production-ready code for both research prototyping and system integration.

PythonCJavaScriptMATLABLinux

Recent Milestones

A chronological record of my academic research, professional, and personal achievements. Measure what you want to improve.

July, 2024

R&D Engineer at DentalMonitoring

Transitioned to an industry role in Paris to focus on deploying, monitoring, and evaluating predictive models used in dental care.

March, 2024

PhD Defense

Successfully defended my thesis on Intracranial Aneurysm Detection, bridging deep learning with clinical realities.

October, 2023

MICCAI STAR Award

Shared our research at MICCAI (Vancouver) and received the STAR award for our technical contribution to medical image computing.

November, 2020

Began PhD at INRIA

Moved to Nancy to start research on medical AI, collaborating with the Tangram team and CHRU Nancy.

July, 2020

Master's Degree Completed

Completed my Master's degree at INSEA (Morocco), finishing second in my class.

Let's build something together.

Whether it is discussing medical AI, sharing thoughts on a recent paper, or exploring a new opportunity, my inbox is always open.