University Assistant Professor in Innovative Computational Methods
Academic Division: Information Engineering
Research group: Computational and Biological Learning
Telephone: +44 1223 7 62456
Email: fm456@cam.ac.uk
Research interests
The human nervous system is the most sophisticated information-processing system we know, yet we still understand remarkably little about the principles that govern how it computes, learns and adapts.
My research combines engineering, computer science and neuroscience to uncover these principles and translate them into next-generation neurotechnologies. At NOX – Neural Computation & Neurotechnology Lab, we develop computational models, machine learning methods, experimental tools and wearable technologies to study neural computation across the peripheral and central nervous systems, with applications ranging from pain and somatosensation to neurological disorders.
Our work is highly interdisciplinary, bringing together engineering, artificial intelligence, mathematics and neuroscience to answer fundamental scientific questions while developing technologies with real clinical impact
Strategic themes
Bioengineering
Our work relates to computational neuroscience, information engineering for life sciences, digital health, precision medicine and neurotechnology for pain and mental health.
Research projects
Flavia offers a range of computational and/or experimental PartIIB, MPhil and PhD projects.
Teaching activity
IA computing
IB Fourier analysis (lectures + lab)
IIA project on brain computer interfaces
Research opportunities
We are seeking a postdoc and a researcgh assistant in computational neuroscience.
Other positions
Fellow of Pembroke College
Department role and responsibilities
Member of the Bioengineering Steering Committee
Secretary of the Information Engineering Subject Group
Member of the MLMI examining committee