Our team

The Data Science Lab at the Universidad de San Andrés is composed of researchers with distinguished academic backgrounds in their respective disciplinary fields, boasting internationally recognized research work published in prestigious journals. 
Senior Researchers and Professors Marcela Svarc and Daniel Fraiman lead the Lab overall direction. Both have founded and lead the Master's in Data Science program, actively contributing to its teaching.
Additionally, they possess extensive research expertise in both theoretical and applied complex data modeling, with applications spanning various knowledge domains.  
Professor and affiliated researcher Lucas Fernández Piana serves as the Lab´s Academic Director. His research focus is on statistics. He also has experience in both theoretical and applied data modeling, primarily within the fields of biological and meteorological applications. 
Magdalena María Badaraco, with an extensive prior trajectory at the Special Projects area of the Universidad de San Andrés, is the executive director of the Lab. Her career includes a notable trajectory in third-sector organizations, specializing in strategic development and project implementation, featuring a robust component of coordination across the public, private, and third sectors.

Director <a href="mailto:msvarc@udesa.edu.ar">msvarc@udesa.edu.ar</a>

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Marcela Svarc

Director <a href="mailto:dfraiman@udesa.edu.ar">dfraiman@udesa.edu.ar</a>

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Daniel Fraiman

Academic Director <a href="mailto:fpiana@udesa.edu.ar">fpiana@udesa.edu.ar</a>

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Lucas Fernández Piana

Executive Director <a href="mailto:mbadaraco@udesa.edu.ar">mbadaraco@udesa.edu.ar</a>

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Magdalena Badaraco

<a href="https://www.udesa.edu.ar/cuerpo-docente/marcela-svarc">Dra. Marcela Svarc</a>, Director of the Data Science Lab
Marcela Svarc is the Director of the Department of Mathematics and Sciences and also holds the position of Associate Professor. Additionally, she is a Research Associate at CONICET. Her research focuses on the development and implementation of machine learning techniques for complex data, specifically: segmentation, classification, and pattern selection techniques. Some of her investigation has been published in prestigious journals such the Journal of the American Statistical Association, Computational Statistics and Data Analysis, Journal of Multivariate Analysis, Advances in Data Analysis and Classification, Journal of Economic Inequality, Review of Income and Wealth, Journal of Geophysical Research: Solid Earth.
<a href="https://udesa.edu.ar/cuerpo-docente/daniel-fraiman-borrazas">Dr. Daniel Fraiman Borrazás</a>, Director of the Data Science Lab
Daniel Fraiman Borrazás is the director of the Master's in Data Science program at the Universidad de San Andrés. He is also an Associate Professor at the Department of Mathematics and Science and an Independent Researcher at CONICET. His research covers a wide range of topics, including the study of complex networks, brain dynamics, critical phenomena and complex systems, mathematical modeling of calcium signals, modeling of ion channels, and network statistics. Some of his work has been published in leading Journals such as Advances in Complex Systems, Chaos Solitons &amp; Fractals, Biophysical Journal, Cell Calcium, IEEE Transactions on Information Theory, Neuroimage, Neuroscience Letters, Physical Biology, Physical Review E, Psychosomatic Medicine, Scientific Reports, Stroke, Test, The European Physical Journal B. Professor Daniel Fraiman has received the Quinquennial Research Award from Universidad de San Andrés for the period 2016-2020.
<a href="https://www.udesa.edu.ar/cuerpo-docente/lucas-fernandez-piana">Dr. Lucas Fernández Piana</a>, Academic Director of the Data Science Lab
Lucas Fernández Piana is a Professor at the Department of Mathematics and Science. Previously, he worked as a Senior Data Science consultant for various national organizations such as the Sadosky Foundation. His research area is unsupervised learning, specifically clustering methods and grouping representation. Currently, he is part of Microairpolar, an international Antarctic research project based at the Universidad Autónoma de Madrid, whose objective is to understand the biogeography of airborne microorganisms in the context of climate change.
<a href="https://udesa.edu.ar/cuerpo-docente/analia-ferrari">Analía Ferrari,</a> Ph.D. in Mathematical Sciences | Professor at the Department of Mathematics and Sciences
<a href="https://www.udesa.edu.ar/cuerpo-docente/eugenia-hesse-rizzi">Eugenia Hesse</a>, Ph.D. in Engineering and Biomedical Engineering | Professor at the Mathematics and Sciences Department.
<a href="https://www.udesa.edu.ar/cuerpo-docente/facundo-carrillo">Facundo Carrillo</a>,  Ph.D. in Computer Science | Professor at the Master's in Data Science program.
<a href="https://udesa.edu.ar/cuerpo-docente/ana-guillermina-fernandez-lovell">Guillermina Fernández Lovell</a>, M.A. in Public Policies and master’s student in Data Mining | Professor at the Master's in Data Science program.
<a href="https://www.udesa.edu.ar/cuerpo-docente/martin-dottori">Martín Dottori</a>, B.Sc. in Physical Sciences |  Professor at the Master's in Data Science program.
<a href="https://www.udesa.edu.ar/cuerpo-docente/veronica-moreno">Verónica Moreno</a>, Ph.D. in Mathematical Sciences. | Professor at the Master's in Data Science program.
<a href="https://www.linkedin.com/in/victoriadumas/?originalSubdomain=ar">Victoria Dumas</a>, Ph.D. in Computational Chemistry and Bioinformatics | Specialist in Data Science, Sadosky Foundation. Professor at the Master's in Data Science program.

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Our team

Meet Data Science Lab´s team

Management team

Marcela Svarc

Daniel Fraiman

Lucas Fernández Piana

Magdalena Badaraco

Associate Researchers

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UdeSA - Universidad de San Andrés

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