Jasmine Nguyen-Duc is a dedicated researcher in the field of computational neurosciences, focusing on advanced neuroimaging techniques and functional brain connectivity. With an extensive academic background and practical experience in both research and industry, she has contributed significantly to understanding brain function using diffusion MRI simulations. Her interdisciplinary expertise spans neuro engineering, machine learning, and biomechanics, making her a promising figure in neuroscience research.
Profile
Orcid
Education
Jasmine’s academic journey began with primary education at Hill View Primary School and Bournemouth Primary School from 2000 to 2004. She then attended Ecole de la Roseraie Primary School in Geneva from 2004 to 2008. Her secondary education was completed at Cycle des Voirets in Geneva from 2008 to 2011, where she studied sciences as her main subject. She pursued higher education at Collège Madame de Staël from 2011 to 2015, majoring in biology and chemistry and obtaining her Maturité diploma. Jasmine continued her studies at EPFL, earning a BSc in Life Sciences Engineering (2015-2019) and an MSc in Computational Neurosciences (2019-2022). Currently, she is undertaking a PhD at Lausanne University (UNIL/CHUV), specializing in diffusion MRI simulations and diffusion functional contrast in the brain.
Experience
Jasmine has gained valuable experience in various academic and professional settings. She started with summer jobs at Bank Pictet in Geneva (2011) and the Police Department in Geneva (2017). Her teaching experience includes roles as a Mechanical Physics Teaching Assistant at EPFL (2018-2020), Physiology Teaching Assistant (2020), and Analysis Teaching Assistant (2020). In 2019, she volunteered as an English and Maths Teacher at a refugee center in Malaysia through AIESEC. Her research experience includes a minor’s project on multi-animal pose tracking using SLEAP at the Neuroengineering Laboratory at EPFL (2020-2021). She also interned at Metadvice (2021), focusing on AI applications for cardiometabolic conditions with mental health issues. Jasmine completed her master’s project at the University Hospital and University of Tübingen (2021-2022), where she employed Long Short-Term Memory Neural Networks to study motor task interactions in stroke patients. Since 2022, she has been working on her PhD research at CHUV Hospital, investigating diffusion MRI simulations and functional contrast in the brain.
Research Interests
Jasmine’s research interests are centered on computational neurosciences, neuroengineering, and AI-driven medical diagnostics. Her work emphasizes diffusion MRI simulations, functional connectivity analysis, and machine learning applications in neuroscience. She has also explored biomechanics, sensorimotor neuroprosthetics, and deep learning applications in biomedical research. Her multidisciplinary approach integrates computational methods with neuroimaging to advance the understanding of brain function and its clinical applications.
Awards
Jasmine has received recognition for her outstanding contributions to neuroscience research. Her academic achievements and research projects have led to various nominations and distinctions in computational neuroscience and biomedical engineering. Her innovative approaches in neuroimaging and AI applications in neuroscience have been acknowledged by her peers and academic institutions.
Publications
- 2025 – “Mapping Activity and Functional Organisation of the Motor and Visual Pathways Using ADC-fMRI in the Human Brain” – Published in Human Brain Mapping journal (DOI: 10.1002/hbm.70110)
Conclusion
Jasmine Nguyen-Duc is a committed researcher whose work in computational neuroscience and neuroimaging has made significant contributions to understanding brain connectivity. Her strong academic foundation, diverse research experiences, and innovative approach to integrating machine learning with neuroscience position her as an emerging leader in the field. With her continued efforts in neuroengineering and advanced MRI techniques, she is poised to drive forward the next generation of neuroscience research.