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Alessandro Delmonte

Artificial Intelligence & Computer Vision Engineer

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Biomedical engineer specialized in artificial intelligence, machine learning and computer vision with applications to medical imaging.

I am Senior Artificial Intelligence Engineer at the Clario R&D medical imaging division, working on deep learning technologies for medical images analysis in the context of large-scale clinical trials.
In 2017, I graduated in Biomedical Engineering (equiv. MSc) from Polytechnic University of Turin, Italy, while part of the image and signal processing laboratory of Télécom Paris, France. In 2018, I joined the image-guided surgery team of Necker Hospital, leading the AI research activity and managing the tech transfer operations. The developed methods were used in more than 100 complex operations, the project entering the ParisBiotechSanté start-up incubator in 2021. In 2022, I joined Clario for my current position as deep-learning engineer.
My interests include supervised learning, neural networks, medical imaging, shapes recognition, decision theory, explainable AI and robotics. I authored multiple peer-reviewed publications on AI methods for MRI processing and I am the main contributor to various imaging software solutions.
I am active in the entrepreneurship and start-up environments, participating in the HEC Bio-Entrepreneurs program and co-founding a start-up spin-off of the Imagine Institute. With my industry, academic and public healthcare experiences, I regularly give lectures on medical imaging for Master programs, and I mentor junior engineers and medicine students.


Open Source Projects

Soon To Be Released

Resume

Senior Artificial Intelligence Engineer

June 2022 - Present

Clario

Clario is the global leader in technology services for clinical trials management. As a senior member of the algorithms and automation team, I provided innovative AI solutions for large-scale trials based on medical imaging technologies.

  • Design and implementation of predictive AI models and image processing algorithms for real-world highly unbalanced data, contributing to the automation of multiple clinical trials accounting for thousands of patients across the globe.
  • Development of artificial neural networks for image segmentation and classification. Identification of suitable AI systems and definition of requirements alongside imaging scientists and sponsors for musculoskeletal, oncology and neurology projects.
  • Agile project management within a team based in California, Taiwan and France. Tech leadership to engineers and contractors.
  • Direct contribution to features deployed in critical applications, adhering to pharmaceutical and med-tech industry regulations and establishing departmental standards. Deployment in industrial cloud-based environments.

Research Engineer (AI - Computer Vision)

Mar. 2019 - May 2022

Necker Hospital for Sick Children - Imagine Institute

Necker is the main European pediatric hospital for robotic surgery. Leading the image-guided surgery team, I delivered digital twin technologies and augmented reality systems used in more than 100 complex operations. I managed the AI research and the tech transfer operations.

  • Supervised learning for organ localization and multi-class MRI/CT semantic segmentation. Interactive CNN for a class agnostic click-based correction system. Conceptualization and development of a image processing pipeline achieving fast and accurate patients 3D modeling.
  • Deep learning for stereo-vision reconstruction, video segmentation and partial point cloud registration for a near real-time representation of the operative field. Integration of an overlay system for surgical guidance during robotic procedures.
  • Nervous network reconstruction using symbolic AI. Expert system integrating medical knowledge using unsupervised clustering, mathematical modeling and fuzzy sets theory. Publication of multiple peer-reviewed papers.
  • Development and deployment of a 3D interaction and visualization software using a graphic engine. App routinely used in the operative room.
  • Classification and regression of medical data for advanced decision support. Database and pipelines management. Continuous Integration.
  • Raised more than 300k€ in funding. Project incubation at ParisBiotechSanté leading to a spin-off start-up creation. Assessed IP, market access, clinical and business strategy. Prepared academic grants, participated in VC meetings and implemented KOL relationships.
  • Technical supervision of 1 engineer, 4 engineering interns and 3 medicine residents. Collaboration with 4 PhD students.

Computer Vision Engineer

Sep. 2017 - Feb. 2018

Télécom Paris - Institut Polytechnique de Paris

Research internship in the image, data and signal processing lab (LTCI - IDS) of the leading French engineering school in artificial intelligence.

  • Uncertainty analysis with fuzzy logic and spatial reasoning for human-centered interactions.
  • Diffusion MRI processing for nervous network classification. Presentation at international conferences.

Clinical Engineer

2014-15

Humanitas Research Hospital

Humanitas is a highly specialised teaching and research hospital. Internship in two key private clinics developing the IT service management.

  • Data engineering for consumer satisfaction analysis.
  • Definition of hospitalisation procedures and medical devices management.

M.Eng.

2018

Polytechnic University of Turin

Biomedical Engineering - Major: Medical Informatics

2017

Télécom Paris

Biomedical Engineering - Exchange Semester

Scientific Communications
Location

Currently based in Paris (FR) and Turin (IT)

My workspaces

75011 Paris, France