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
I am an Assistant Professor in Innovative Computational Methods and MRC Career Development Award fellow in the Computational and Biological Learning group. I am the head of the Nox Lab and also a Fellow at Pembroke College. I trained in neuroscience at the University of Milan Bicocca, University College London and University of Cambridge. My research group investigates the neural and computational processes involved in body homeostasis and defense from aversive states, from autonomous control to high-order decision making. We develop and use a mix of computational methods from machine learning, control theory, dynamical systems. We also use a range of neural imaging techniques in humans (brain and spinal fMRI, fNIRS, EEG). The group is growing, please get in touch is you are interested in PhD and postdoc opportunities.
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