I’m interested in medical imaging and data analysis, and my research currently focuses on how brain functional and structural networks are affected in people with autism spectrum disorder and in mouse models with autism-associated genetic mutations [see publications].
I work under the supervision of Alessandro Gozzi.
I did my BSc in Computer Science at Charles University in Prague working on machine translation with Ondřej Bojar, and my MSc in Computer/Cognitive Science at The University of Melbourne/University of Trento working on computer vision, distributional semantics and machine learning with Marco Baroni and Elia Bruni [see theses].
I will be spending this autumn at Facebook AI Research in Paris, working on hierarchical reinforcement learning.
I’ll be presenting the following two posters at ISMRM this April/May:
I’ll be giving a talk at the Cambridge Connectome Consortium on mouse brain resting-state fMRI connectivity and its applications to study connectivity alterations in autism models on Tuesday, February 28 [slides].
Our paper Homozygous loss of autism-risk gene CNTNAP2 results in reduced local and long-range prefrontal functional connectivity was just accepted to Cerebral Cortex [pdf].
Our paper Can Mouse Imaging Studies Bring Order to Autism Connectivity Chaos? was just published in Frontiers in Neuroscience.
We have recently started a reading group on reinforcement learning with a group of colleagues, following the draft of the second edition of Reinforcement Learning: An Introduction by Sutton and Barto. The PDF version of the book is available on the book website; we are using the draft from October 2015 (currently the latest one).
All public releases of data produced by the Human Connectome Project (HCP) are available online through the ConnectomeDB. Nevertheless, I’ve had trouble running the Aspera Connect browser plugin – that’s required to download data from the database – on my Ubuntu machine (it crashes whenever I want to initiate a download).