Department of Engineering / Profiles / Dr Flavia Mancini

Department of Engineering

Dr Flavia Mancini

fm456

Flavia Mancini

University Assistant Professor in Innovative Computational Methods

Academic Division: Information Engineering

Research group: Computational and Biological Learning

Telephone: +44 1223 7 62456

Email: fm456@eng.cam.ac.uk

Personal website

Publications


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 defence 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

2022/3 3G4 Medical Imaging (6 lectures)

Department role and responsibilities

Member of the Bioengineering Steering Committee