Research interests

I work at the interphase between computational neuroscience and machine learning, bringing in tools from complex systems, information theory and statistics, to try to understand how the brain acquires, stores, and processes information. To do so, I employ both analytic methods and numerical simulations/optimization.

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My research interests include synaptic plasticity rules, both derived from objective functions (top-down) and in terms of their biological underpinnings (bottom-up).

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My recent work has focused on how the brain could encode and deal with uncertainty, training biologically plausible neural networks to perform sampling-based probabilistic inference. 

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I am currently working to develop quantitative tools based on graph convolutional neural networks to aid in the diagnosis of autistic spectrum disorders.

PUBLICATIONS

EXPERIENCE

2016-present

Research Associate

CBL, University of Cambridge, UK

Supervised by Dr. Máté Lengyel and cosupervised by Dr. Guillaume Hennequin.

Research focus: Training biologically plausible Recurrent Neural Networks to perform Probabilistic Inference.

2012-2016

Research Assistant

ITP, Goethe University, Frankfurt, Germany

Supervised by Prof. Dr. Claudius Gros.

Research focus: Development and application of Synaptic Plasticity Rules, both from generating principles (top-down) and from its biophysical components (bottom-up). 

2019-present

Researcher

sinc(i), CONICET/UNL, Santa Fe, Argentina

Research foci: Artificial Neural Networks, Development of Machine Learning tools for Computational Neuroscience, Bayesian Inference, Fairness in AI, ASD

2016-2019

Research Associate

CBL, University of Cambridge, UK

Supervised by Prof. Dr. Máté Lengyel and cosupervised by

Dr. Guillaume Hennequin.

Research focus: Training biologically plausible Recurrent Neural Networks to perform Probabilistic Inference.

2012-2016

Research Assistant

ITP, Goethe University, Frankfurt, Germany

Supervised by Prof. Dr. Claudius Gros.

Research focus: Development and application of Synaptic Plasticity Rules, both from generating principles (top-down) and from its biophysical components (bottom-up). 

EDUCATION

2012-2016

Phd

PHD IN PHYSICS

Goethe University, Frankfurt, Germany

Supervisor: Prof. Dr. Claudius Gros

During my thesis I worked within the fields of complex systems and computational neuroscience, developing synaptic plasticity rules, both from generating principles (top-down) and from its biophysical components (bottom-up). 

2010-2011

Master's Degree

MSC IN PHYSICAL SCIENCES

Balseiro Institute, Bariloche, Argentina

Msc. Advisor: Dr. Inés Samengo

During my masters I worked in cognitive science and computational neuroscience, studying categorization in children with autism. I carried out experiments in schools and centers across Argentina. 

2005-2010

Bachelor's Degree

BSC IN PHYSICS

National University of Rosario,

and Balseiro Institute, Bariloche, Argentina

Bsc. Advisor: Dr. Inés Samengo

As a part of my thesis I developed a computer software, in the form of a videogame, to produce a quantitative assessment of the categorization capacity of children with autism.