Jacopo Iacovacci

Jacopo Iacovacci received a B.S. degree in Physics from University of Rome La Sapienza in 2010,and a M.S. degree in Biophysics in 2012 from the same university with the thesis
'The role of short-term synaptic depression and spike frequency adaptation on the
bursting dynamics of populations of neurons', supervised by Dr. P. Del Giudice.
In 2013 he joined the Complex Systems and Networks Group at Queen Mary University of London
where he focused his research on understanding how link motifs and community structures
can emerge in Complex Networks and how it is possible to characterize these structural features
in networks with multiple levels of interactions (Multi-layer Networks) as well as in Visibility Graphs,
a special family of graphs that encode in their architecture information generated by complex signals.
He obtained his Ph.D. degree in Mathematics from QMUL in 2017 under the supervision of Dr. L. Lacasa
and Dr. G. Bianconi with the thesis 'Motif formation and emergence of mesoscopic structure in complex networks'.
He is currently Postdoctoral Research Associate at Imperial College London and at The Francis Crick
Institute and his research interests include machine learning and network-based analysis techniques for
data-driven biology, with a specific focus on the analysis of omics data.