Victoria Peterson

PhD - Research in Brain-Computer Interfaces (BCI)

Victoria Peterson

Faculty Researcher @ IMAL-CONICET (Santa Fe, Argentina)

Associate Professor @ FIQ-UNL (Santa Fe, Argentina)

Collaborator @ Brain Modulation Lab (Boston, MGH-Harvard, US). 


Group leader of the Applied Computational Neuroengineering Lab (NiCALab) @IMAL-CONICET (Santa Fe, Argentina)

News!

https://twitter.com/mediachicas/status/1352374413170270209


About me

I am currently a CONICET Faculty Researcher at the Instituto de Matemática Aplicada del Litoral, IMAL-UNL-CONICET, Argentina, where I lead a group on Applied Computational Neuroengineering. We investigate decoding models for invasive and non-invasive neuroscillations with application to Brain-Computer Interfaces. I am also an Associate Professor in the Mathematics department at Facutad de Ingeniería Química, FIQ-UNL, Argentina where I teach optimization and machine learning, data science, and related courses.

From 2021 to 2022, I worked as a Postdoc research fellow at the Brain Modulation Lab, Massachusetts General Hospital, Boston, US, and a Research Affiliate of the Harvard Medical School, under the supervision of PhD MD Mark Richardson. Before that (2019-2021) I was a Postdoc at the Instituto de Matemática Aplicada del Litoral, IMAL-UNL-CONICET, Argentina, under the supervision of Prof. Ruben Spies. I did my PhD in machine learning for brain decoding (2014-2019) at the Instituto de Investigación en señales, sistemas e inteligencia computacional, sinc(i)-UNL-CONICET, Argetina.

I work in the development of computational solutions for brain signal decoding with application to Brain-Computer Interface (BCIs) for neurophysiological decoding. I was introduced to the BCI word research when I was doing my Bachelor's degree thesis. I have since been deeply fascinated by BCIs, with a desire to understand the depth and beauty of the underlying mathematical models, and use the power of advanced signal processing and machine learning tools to make this technology more robust and applicable.

In 2014, driven by the desire to deepen my knowledge in machine learning and BCIs, I started my Ph.D.  studies in the field of BCIs, supported by a five-year competitive fellowship awarded to me by the National Council of Scientific and Technical Research of Argentina, (CONICET).  In 2017 I  made a research visit stay at the Rehabilitation Engineering Laboratory at ETH Zurich thanks to the Doctoral Exchange Grant awarded to me by the Zeno Karl Schindler Foundation (ZKS, Switzerland).

 

My main research goal is to help toward the development of computer-based technologies that improve the quality of life of people with neurological disorders.

Education

Universidad Nacional del Litoral, Argentina
Universidad Nacional de Entre Ríos, Argentina

Interest

Positions