Students

Davide Giana

Davide joined SISSA in 2019 and is working with Mathew Diamond.

Dunia Giomo

joined Time Perception Lab in 2017, before as pre-doc student and later as a PhD student. I am working under the supervision of Professor Domenica Bueti. I am interested in how the brain represents temporal sequences.

Iacopo Hachen

Iacopo joined SISSA in 2018 and is working with Mathew Diamond.

Sasha Kenjeeva

I came to SISSA in 2021 as a Trento-SISSA Master’s student, and joined Davide Crepaldi’s Language, Learning & Reading Group Lab. I love to look at language from different angles, so my research has always been interdisciplinary, at the intersection between (Computational) Linguistics, Cognitive Psychology and Neuroscience.

Mojtaba Khodadadi

Mojtaba joined SISSA in 2018 and is working with Dr. Chris Mathys. He is interested in statistical learning, Physics of complex systems, collective behaviors, and economics as well as computational psychiatry.
Prior to starting his Ph.D., he obtained a B.Sc. and M.Sc. in Physics from Isfahan University of Technology.

Previous webpage: https://mojtabakhodadadi.physics.iut.ac.ir/

Anna Liebelt

I joined Davide Crepaldi's lab as a PhD student in 2022, following an integrated Masters in Cognitive Neuroscience at the University of Sussex. I'm most interested in the study of bilingual populations, through the lens of statistical learning.

Maristella Lunardon

I am a psychologist, with a background in developmental psychological sciences and neuropsychology. I joined the INSULA lab in 2020 as a Ph.D. student in Cognitive Neuroscience under the supervision of Raffaella Rumiati. I have always been interested in the cognitive and neural mechanisms underlying mathematics and numerical reasoning in typical and atypical populations.

Maristella Lunardon

Maristella joined SISSA in 2020 and is working with Raffaella Rumiati.

Yifan Luo

Yifan joined SISSA in 2018 and is working with Alessandro Treves.

Paolo Muratore

Paolo joined SISSA in 2019 as a PhD Student and is a member of the Visual Neuroscience Lab leaded by Prof. Davide Zoccolan. His main research interest is investigating the similarities in the neural representation of visual scenes between biological systems (using mice and rat models) and artificial systems (CNNs, ViTs). He loves Fluid Dynamics Simulations.

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