SciPyCon Argentina 2014

Bahía Blanca, Oct. 20-24.

Invited Speakers

Keynote Speakers at SciPyCon Argentina 2014

Gaël Varoquaux is an INRIA faculty researcher working on computational science for brain imaging in the Neurospin brain research institute (Paris, France).

His research focuses on modeling and mining brain activity in relation to cognition. Years before the NSA, he was hoping to make bleeding-edge data processing available across new fields, and he has been working on a mastermind plan building easy-to-use open-source software in Python.

He is a core developer of scikit-learn, joblib, and Mayavi, a nominated member of the PSF, and often teaches scientific computing with Python using http://scipy-lectures.github.com.

His infrequent thoughts can be found at http://gael-varoquaux.info


Travis Oliphant has a Ph.D. from the Mayo Clinic and B.S. and M.S. degrees in Mathematics and Electrical Engineering from Brigham Young University. Since 1997, he has worked extensively with Python for numerical and scientific programming, most notably as the primary developer of the NumPy package, and as a founding contributor of the SciPy package. He is also the author of the definitive "Guide to NumPy".

Travis was an assistant professor of Electrical and Computer Engineering at BYU from 2001-2007, where he taught courses in probability theory, electromagnetics, inverse problems, and signal processing. He also served as Director of the Biomedical Imaging Lab, where he researched satellite remote sensing, MRI, ultrasound, elastography, and scanning impedance imaging.

From 2007-2011, Travis was the President at Enthought, Inc. During his tenure there, the company grew from 15 to 50 employees, and Travis worked with well-known Fortune 50 companies in finance, oil-and-gas, and consumer-products. He was involved in all aspects of the contractual relationship, including consulting, training, code-architecture, and development.

As CEO of Continuum Analytics, Travis engages customers, develops business strategy, and guides technical direction of the company. He actively contributes to software development and engages with the wider open source community in the Python ecosystem.


Manuel M. Oliveira is an Associate Professor of Computer Science at the Federal University of Rio Grande do Sul (UFRGS), in Brazil.

He received his PhD from the University of North Carolina at Chapel Hill, in 2000. Before joining UFRGS in 2002, he was an Assistant Professor of Computer Science at the State University of New York at Stony Brook (2000 to 2002). In the 2009‐2010 academic year, he was a Visiting Associate Professor at the MIT Media Lab. His research interests cover most aspects of computer graphics, but especially the frontiers among graphics, image processing, and vision (both human and machine).

In these areas, he has contributed a variety of techniques including relief texture mapping, real‐time filtering in high‐dimensional spaces, efficient algorithms for Hough transform, new physiologically‐based models for color perception and pupil‐light reflex, and novel interactive techniques for measuring visual acuity. His work has been marked by a quest for solutions that produce high‐quality results in real time.

Manuel was program co‐chair of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games 2010 (I3D 2010), and general co‐chair of ACM I3D 2009. He was also program co‐chair of the 2014 LatinAmerican Symposium on Computer Graphics, Virtual Reality and Image Processing, WSCG 2013, and SIBGRAPI 2006. He received the ACM Recognition of Service Award in 2009 and 2010.Manuel M. Oliveira is an Associate Professor of Computer Science at the Federal University of Rio Grande do Sul (UFRGS), in Brazil.


Gabriel Taubin is an Associate Professor of Computer Science at the Division of Engineering at Brown University in the United States.

He earned a Licenciado en Ciencias Matemáticas degree from the University of Buenos Aires, Argentina, and a Ph.D. degree in Electrical Engineering from Brown University. He was named IEEE Fellow for his contributions to the development of three-dimensional geometry compression technology and multimedia standards.

He worked for thirteen years at the IBM T. J. Watson Research Center, where he was a Research Staff Member. During his first five years at IBM Research he belonged to the Exploratory Computer Vision group. The next five years he managed the Visual and Geometric Computing group. From 2000 to 2001 he was on sabbatical at the California Institute of Technology as Visiting Professor of Electrical Engineering. The following year, back at IBM, he was a member of the Visual Technologies department. Finally, in the Fall of 2002 he joined the Pervasive Computing Solutions group as a project leader, where he lead a team effort to design and build miniature smart cameras for real-time audio/visual signal processing applications.

His main research interests fall into the following disciplines: Applied Computational Geometry, Computer Graphics, Geometric Modeling, 3D Photography, and Computer Vision. For the last few years his main line of research has been related to the development of efficient, simple, and mathematically sound algorithms to operate on 3D objects represented as polygonal meshes, with an emphasis on technologies to enable the use of 3D models for Web-based applications. He made significant theoretical and practical contributions in several areas, such as: 3D capturing and surface reconstruction, modeling, compression, progressive transmission, signal processing, and display of polygonal meshes. The 3D geometry compression technology that he developed with his group at IBM is now part of the MPEG-4 standard, and integral part of IBM products.


Borko Stosic Doctorate in theoretical physics from University of Belgrade, Serbia (1991). Postdoctoral fellow at Boston University, USA (1991-1994). Currently associate professor at the Department of Statistics and Informatics (DEINFO) of the Federal Rural University of Pernambuco (UFRPE), Brazil, and coordinator of graduate course in Biometrics and Applied Statistics of DEINFO/UFRPE. Extensive experience in computational statistical physics, computational statistics, and operational research, with an emphasis on development and application of computationally intensive methods. Main research activities in: Data Envelopment Analysis, fractals, systems of coupled Carlo simulations.

Oradores Invitados

Oradores Principales en la SciPyCon Argentina 2014

Gaël Varoquaux es investigador de la facultad INRIA, trabaja en ciencia computacional de imágenes cerebrales en el instituto de investigación del cerebro Neurospin (París, Francia).

Su investigación se centra en el modelado y minería de la actividad cerebral en relación con la cognición. Años antes de la NSA, tenía la esperanza de hacer accesibles las últimas tecnologías de procesamiento de datos a través de nuevos campos, y ha estado trabajando en un plan genial desarrollando software fácil de usar y de código abierto en Python.

Es desarrollador principal de scikit-learn, joblib y Mayavi, miembro designado del PSF y con frecuencia enseña computación científica con Python usando http://scipy-lectures.github.com.

Sus pensamientos poco frecuentes pueden encontrarse en http://gael-varoquaux.info


Travis Oliphant tiene un Ph.D. de la Mayo Clinic y grados de B.S. y M. S. en Matemáticas e Ingeniería Eléctrica de la Universidad Brigham Young. Desde 1997, ha trabajado extensamente con Python en programación numérica y científica, sobre todo como el desarrollador principal del paquete NumPy y, como colaborador fundador del paquete SciPy. Es también el autor de la "Guía de NumPy".

Travis was an assistant professor of Electrical and Computer Engineering at BYU from 2001-2007, where he taught courses in probability theory, electromagnetics, inverse problems, and signal processing. He also served as Director of the Biomedical Imaging Lab, where he researched satellite remote sensing, MRI, ultrasound, elastography, and scanning impedance imaging.

Travis fue profesor adjunto de Ingeniería Eléctrica e Informática en la BYU en el período 2001-2007, donde impartió cursos en teoría de probabilidades, electromagnetismo, problemas inversos y procesamiento de señales. También se desempeñó como Director del Laboratorio de Imágenes Biomédicas, donde investigó sobre teledetección satelital, MRI, ultrasonido, elastografía e imágenes de impedancia de exploración.

Desde 2007-2011, Travis fue presidente en Enthought, Inc. Durante su permanencia allí, la compañía creció de 15 a 50 empleados, trabajó con empresas -conocidas como las Fortune 50- de finanzas, petróleo y gas y, de productos de consumo. Estuvo involucrado en todos los aspectos contractuales, incluyendo consultoría, capacitación, arquitectura del software y desarrollo.

Como CEO de Continuum Analytics, Travis se involucra con los clientes, desarrolla la estrategia empresarial y orienta la dirección técnica de la empresa. Contribuye activamente al desarrollo de software y se involucra con la comunidad de código abierto más amplia del ecosistema Python.

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