Hi there! My name is Felipe Delestro, and I’m a software developer at the Center for Quantification of Imaging Data (QIM) of the Technical University of Denmark (DTU). I’m passionate about using technology to make sense of complex data, especially when it comes to 3D+time imaging.

I completed my Ph.D. in this field at the École Normale Supérieure (ENS, Paris – France), and prior to that, I earned my Master’s degree from Universidade Estadual Paulista (UNESP, Assis – Brazil) in the field of Biosciences. Along the way, I’ve gained experience in Digital Image Processing and Data Science, which have helped me tremendously in my work at QIM.

Before joining QIM, I worked at ImVitro, a Paris-based healthcare startup that focused on developing deep-learning models for image analysis of developing embryos. It was an amazing experience that taught me a lot about applying cutting-edge technology to real-world problems.

Carrer path

  • 2006 ➟ 2012
    Biotechnological Engineering
    Universidade Estadual Paulista – UNESP
    Assis-SP, Brazil 🇧🇷
    Multidisciplinary formation, ranging from life sciences to engineering. Focus on new technologies developed for biology, mainly in healthcare, agriculture, developmental biology, and computer science.
  • 2012 ➟ 2014
    Master in Biosciences
    Universidade Estadual Paulista – UNESP
    Assis-SP, Brazil 🇧🇷
    A partnership between the computer science and embryology labs of UNESP, developing one of the first ML methodologies for embryo classification.
  • 2014 ➟ 2018
    PhD in Cell Biology
    École Normale Supérieure – ENS
    Paris, France 🇫🇷
    New image analysis methodologies for the 3D+time tracking of neuronal activity. Worked on the computational aspect of the project in close partnership with biologists for data acquisition.
  • 2018 ➟ 2020
    Scientific Illustrator
    École Normale Supérieure – ENS
    Paris, France 🇫🇷
    Innovative solutions in graphic design and data visualization to aid researchers in how to better display their results for scientific publications.
  • 2019 ➟ 2020
    Image Analysis Specialist
    Imaging Facility – IBENS
    Paris, France 🇫🇷
    Development of custom-made image analysis pipelines for researchers of the IBENS. Worked on creating fast and reliable solutions to a variety of complex subjects.
  • 2020 ➟ 2022
    Data Scientist
    Paris, France 🇫🇷
    First hire of ImVitro, a deep-tech startup developing AI solutions to infertility. For two years engaged in data preparation, the conception of ML models, model explainability, model performance evaluation, and statistical analysis. Took part in the deployment of 5 product releases of the SaaS platform.
  • 2023 ➟ Present
    Software Developer
    Center for Quantification of Imaging Data – QIM
    Kongens Lyngby, Denmark 🇩🇰
    Development of tools and applications to optimize the center’s computational resources, while having user-friendly interfaces to ensure that the tools are easily accessible and understandable to QIM’s users.