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Speakers

The following speakers are invited.

Fernando Perez

Fernando Perez

Fernando Perez received his PhD in Physics from the University of Colorado, Boulder, in 2002 working on questions regarding the toplogical structure of the QCD vacuum using Lattice Gauge Theory techniques. He then worked at the Applied Mathematics Dept. at the same university, focusing on the development of a new family of algorithms for the efficient application of linear operators in multiple dimensions, with a focus on the uses of such techniques on the (bound state) multiparticle Schrodinger Equation. Since early 2008, he has worked as a research scientist at the Helen Wills Neuroscience Institute at the University of California, Berkeley, on the development of new algorithms and tools for neuroimaging. He is actively involved in the development of tools for scientific computing using high-level languages, in particular Python. He is the original author and leader of the IPython project for interactive computing (http://ipython.scipy.org) and an active contributor to other scientific Python projects as well as a frequent lecturer on these topics.

Satrajit

Satrajit Ghosh

Satrajit Ghosh is a research scientist at Research Laboratory of Electronics at MIT and a faculty member of the Speech and Hearing Biosciences and Technology program within the Harvard-MIT division of Health Sciences and Technology. He has extensive experience with neuroimaging, signal processing and software development. He has developed state-of-the-art tools for analysis of neuroimaging data and is managing the development of a Python-based, opensource, multi-institution software project aimed at improving interoperability among existing imaging analysis software packages (http://nipy.org/nipype/). His current research focus is on utilizing pattern classification approaches for diagnosis and prediction of neurological disorders. His prior work involves real-time synthesis of computer music and sound effects, controlling chaotic oscillators, computational modeling of speech acquisition and production, and realtime DSP-based speech signal processing. He holds a BS(Honors) degree in Computer Science from the National University of Singapore and a PhD in Cognitive and Neural Systems from Boston University.



Jarrod Millman

Jarrod Millman

He is on the SciPy steering committee and an active contributor to both the NumPy and SciPy projects. He is the acting managing director and the director of computing for UC Berkeley's Neuroscience Institute, where he helped found the Neuroimaging in Python (NIPY) project.


Prabhu Ramachandran

Prabhu Ramachandran

He is the architect of Mayavi (3D visualization in Python) and is currently a faculty member at the Department of Aerospace Engineering, Indian Institute of Technology Bombay, India.


Asokan Pichai

Asokan Pichai

Mr. Asokan Pichai is the consultant/Project manager for the Python group of the FOSSEE project. He is also the principal consultant at Merquri consulting. He has immense experience in the field of training and instructional design. He has been a director at CIBS and has been the CEO/CTO of various firms such as MinVesta Infotech Ltd., Arkin Systems and Future Focus Infotech.


John Hunter

John Hunter received his Ph.D. in neurobiology at the University of Chicago for experimental and numerical modeling work on synchronization of neurons to aperiodic stimuli and the non-linear response of synapses to aperiodic inputs. His postdoctoral research was in coherence and characterization of transient synchronizations in pediatric epilepsy. He left academia in 2005 for quantitative finance, and is Senior Quantitative Analyst at TradeLink Securities. An avid python programmer and lecturer in scientific computing in python, he is original author and lead developer of the scientific visualization package matplotlib.



Perry Greenfield

Perry Greenfield received a Ph.D. in Physics from M.I.T. His thesis was based on Very Large Array radio observations of the first discovered gravitational lens. After a short stint in communications engineering at Bell Labs, he ended up at the Space Telescope Science Institute, where he has worked for the last 25 years. He initially was responsible for calibrating the Faint Object Camera for the Hubble Space Telescope, but for the last 15 years he has been leading the Science Software Branch. He has pioneered the use of Python in astronomy, and his group been heavily involved in Python for the last 12 years. They have developed PyRAF, numarray (the precursor to current numpy capabilities), PyFITS, and been heavily involved in the development and support of matplotlib. His group is now heavily involved in developing the science software to support the next large space telescope under construction, the James Webb Space Telescope.



Stéfan van der Walt

Stéfan van der Walt is a researcher and lecturer in Applied Mathematics at Stellenbosch University, South Africa. He holds a BEng (E&E with CS) (2005) and MScEng (2005) from the same institution, and recently completed his PhD on super-resolution imaging. His current research interests include mathematical modeling in neuro-imaging, the discrete pulse transform, GPU computing and manifold learning. Stéfan is a strong proponent of free and open software for scientific research and teaching, and has been part of the NumPy community since 2006.



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