About me

I am a Medical Doctor and Ph.D. student in Surgical Data Science at the CAMMA Lab, under the guidance of Prof. Nicolas Padoy and Dr. Pietro Mascagni.

I'm interested in scaling video-based assessments to explore intraoperative adverse events in a data-driven manner, analyzing their relationship with postoperative outcomes, and identifying safety checkpoints to mitigate risks. I also aim to develop unimodal and multimodal datasets that emphasize clinical relevance, with a strong focus on surgical scene descriptions across multiple levels of granularity.

What i'm doing

  • surgery icon

    Surgical Data Science

    Analyzing videos from minimally invasive surgery to extract clincally meaningful insights.

  • Web development icon

    Software Development

    Building reliable software tools for clinical research and AI-based user studies.

  • research icon

    Clinical Research

    Collaborating on surgical research projects with several international partners.

  • ai icon

    AI Modeling

    Developing clinically-driven datasets that capture the reasoning behind surgical decision-making.

News

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  • SICE Journal Club

    SICE Journal Club

    I will be presenting "Blood Perfusion Assessment by Indocyanine Green Fluorescence Imaging for Minimally Invasive Rectal Cancer Surgery (EssentiAL trial)" at the SICE Journal Club on May 12, 2025.

  • Surgical Data Science

    SDS Summer School

    Registration is open for the 2025 edition of the Surgical Data Science Summer School. Apply now!

  • SAGES

    SAGES

    My abstract "Development and testing of EndoShare: an application to process and deidentify endoscopic videos" was accepted as a poster presentation at the SAGES 2025 Annual Meeting in Long Beach, CA.

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Supervision

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  • Sarah Meuli

    Sarah Meuli

    Medical student at the Humanitas University in Milan. Sarah is working on the following projects:

    Gastric Bypass:
    Assisting in annotating surgical videos with labels for surgical triplets in gastric bypass procedures.

    SATISFY:
    Contributing to refining active video-based surgical training curricula and supporting platform development.

  • Nicolas Chanel

    Nicolas Chanel

    Medical student at the University of Strasbourg. Nicolas is working on the following projects:

    LYSE:
    Introducing The Critical View Of Safety Assessment In Sentinel Node Dissection For Uterine Malignancies: A Step Toward The Use Of Artificial Intelligence To Enhance Surgical Safety And Lymph Node Detection.

    CVS Copilot:
    AI-powered device for real-time assistance during laparoscopic cholecystectomy.

  • Nabani Banik

    Nabani Banik

    Medical student at the University of Strasbourg. Nabani is working on the following projects:

    Gastric Bypass:
    Assisting in annotating surgical videos with labels for surgical triplets in gastric bypass procedures.

    MultiColorectal:
    Defining a surgical workflow in colorectal procedures and annotating surgical videos with phases and steps.

Clinical Partners

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Resume

Education

  1. University of Strasbourg - ITI HealthTech

    2024 — Present

    Ph.D. in Surgical Data Science (CAMMA Group). Investigating iNTraoperative Events (INTERACT) to reveal anastomotic complications in colorectal surgery and evaluating outcomes through in-depth video analysis (OPERATE).

  2. Sant’Anna School of Advanced Studies

    2017 — 2024

    Master in Medical Sciences (M.Sc.), awarded summa cum laude. Honor Student with a full government-funded scholarship.

  3. University of Pisa

    2017 — 2023

    Degree in Medicine and Surgery (M.D.), awarded summa cum laude.

  4. IRCAD – B.E.S.T Summer School

    August 2024

    Received the best group project award. Project title: “LapSense”.

  5. Institute of Image-Guided Surgery (IHU Strasbourg) Summer School

    July 2023

    Surgical Data Science Summer School. Received the best group project award. Project title: “Advancing Precision: AI-Powered Margin Prediction in Lumpectomy for Breast Cancer”.

Work & Research Experience

  1. Clinical Research Fellow, CAMMA Group – University of Strasbourg / IHU Strasbourg

    2023 — 2024

    Developed and tested EndoShare for surgical video management, coordinated the SATISFY project, and contributed to a Generative AI team for laparoscopic image reproduction.

  2. Research Intern, McKay Orthopedic Department – University of Pennsylvania

    July — October 2021 & August — December 2022

    Investigated the hypoxia pathway’s role in chondrogenesis and performed single-cell RNA sequencing analysis using R and Seurat.

  3. Clinical Intern, Departments of Surgery and Pathology – University of Paris, Hospital Cochin

    January — June 2022

    Gained clinical exposure in surgical and pathological procedures.

  4. Clinical & Research Intern, Department of Maxillofacial Surgery – University of Udine

    September — October 2020 & March — July 2021

    Developed an iOS app employing mixed reality to visualize soft tissue on patient-specific skulls, and tested a generative design approach on Fusion 360 to simulate a temporomandibular joint implant.

  5. Clinical Intern, Department of Orthopedic Surgery – University of Pisa

    August — October 2019

    Analyzed a large dataset of hip implants to design a new prosthetic concept through finite element analysis of stress loads.

  6. Research Intern, Centre Interdisciplinaire de Recherche en Biologie – Collège de France

    August — September 2018

    Participated in interdisciplinary research projects in neuroscience.

Courses

  1. Deep Learning Specialization – DeepLearning.AI (Coursera)

    Fall 2022

    Courses include: Neural Networks and Deep Learning (Credential ID VGKMXAPCLVHZ), Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization (Credential ID LEEDCU3YX7SC), and Structuring Machine Learning Projects (Credential ID MHA53YZ895J2).

My skills

  • Clinical Research
    80%
  • Python
    60%
  • FFmpeg
    70%
  • PyQT
    30%

Contact

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