Danielle Schutt
Ph.D. Student

Department of Biomedical Engineering

Email: danielle.schutt@mail.mcgill.ca

LinkedIn

Educational Background:

BSc. Specialization in Kinesiology (2020)

MSc. Specialization in Experimental Surgery (2024)

Favourite Lab Equipment:

The Belly Dancer

Research Project and Interests:

Exploring Bacteria-Derived Vesicles as Therapeutic Vaccine Platforms for Melanoma

  • 2024 First-Class Honours - McGill University, Montreal, Canada

    2020 Dean's Honour List - Queen's University at Kingston, Canada

    2024 Finalist - Oral Competition - Minds in Motion Conference, Montreal, Canada

    2024 Finalist - Oral Competition - Rehabilitation Research Colloquium, Montreal, Canada

    2024 Finalist - Oral Competition - Surgical Research and Innovation Day, Montreal, Canada

  • Peer-Reviewed Articles:

    Danielle Schutt, Sandra McGill, Evgueni Zalmaev. (2024). Evaluation of the Analgesic Efficacy of Bilateral Rectus Sheath Block Following Abdominoplasty. Journal of Regional Anesthesia & Pain Submitted

    Danielle Schutt, Paul A. Martineau, Shawn Robbins. (2024). Comparative Analysis of Equipment-Free Tasks for Biomechanical Assessment: Identifying Optimal Replacement of Drop Vertical Jump in Evaluating ACL Injury Risk. Journal of Sport Sciences. Submitted

  • 1. (2024). Comparative Analysis of Equipment-Free Tasks for Biomechanical Assessment: Identifying Optimal Replacement of Drop Vertical Jump in Evaluating ACL Injury Risk. Minds in Motion, Montreal, Canada Oral Presentation

    2. (2024). Comparative Analysis of Equipment-Free Tasks for Biomechanical Assessment: Identifying Optimal Replacement of Drop Vertical Jump in Evaluating ACL Injury Risk. Rehabilitation Research Colloquium, Montreal, Canada Oral Presentation

    3. (2024). Comparative Analysis of Equipment-Free Tasks for Biomechanical Assessment: Identifying Optimal Replacement of Drop Vertical Jump in Evaluating ACL Injury Risk. Surgical Research and Innovation, Montreal, Canada Oral Presentation

    4.William Alves, Athanasios Babouras, Paul A. Martineau, Danielle Schutt, Shawn Robbins, Thomas Fevens. (2024). Detecting Concussion History in Athletes using Pose Estimation and Machine Learning. BMC Medical Informatics and Decision Making. International Conference on Bioinformatics and Biomedicine Conference Publication

  • VP of Finance & Operations BBMESS Council (2024)