Saïma Ben Hadj

Experience

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  Inria

  Apr 2009 - Apr 2013

  In my Ph.D. research, I specialized in computer vision, focusing on mathematical inverse problems to improve the quality of 3D fluorescence microscopy images. I developed advanced convolution and deconvolution techniques, combined with functional optimization, to reduce image blur and noise. My work involved tackling complex, high-dimensional non-convex optimization problems and creating algorithms for regularized cost functions. This research resulted in seven first-author publications in prestigious journals and conferences, including IEEE and JIMIV. Additionally, I contributed to academia by lecturing at the University of Nice. Show less

  • Ph.D in Computer Vision

    Apr 2010 - Apr 2013

  • Research Intern in Computer Vision

    Apr 2009 - Mar 2010
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  CEA - Commissariat à l'énergie atomique et aux énergies alternatives

  May 2013 - Nov 2014

  Postdoctoral Researcher

  I conducted research in Computer Vision to support the Defense sector. My key achievement was developing an anomaly detection algorithm for automatic military engine recognition in multi-spectral images. This work, which involved advanced techniques in blind sparse source separation and machine learning, was carried out in collaboration with Safran Electronics & Defense and the Directorate General of Armaments (DGA).

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  Tribun Health

  Feb 2015 - Dec 2023

  As VP of Data Science, I led a multinational team of AI scientists, engineers, and a project manager, all united by a mission to outsmart cancer with AI. We focus on developing AI tools for faster, more accurate diagnoses, especially in breast cancer, resulting in CE IVD marked solutions. Beyond the algorithms, I bridge the gap between tech, medical experts and business teams to ensure our AI solutions are as impactful in the real world as they are on paper. It’s about leading with vision, a bit of grit, and a commitment to making a real difference in healthcare. Show less

  • Vice President of Data Science

    Jan 2022 - Dec 2023

  • Head of AI & Computer Vision

    Sept 2019 - Dec 2021

  • Computer Vision Engineer

    Feb 2015 - Aug 2019
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  ESSEC Executive Education

  Apr 2024 - now

  Executive MBA Candidate

  As a true career accelerator, the Executive MBA offered me a 360° organizational perspective and fostered leadership through international residencies, group projects, and hands-on workshops. This "learning by doing" approach enabled me to apply my entrepreneurial knowledge to two AI-driven projects:- Accelerating Clinical Trials: Leveraging Generative AI to optimize trial design, reduce costs, and improve success rates.- Optimizing Recruitment: Using AI agents to ensure a perfect match, maximize efficiency, and optimize costs. Show less