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 department
there, 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 creator and lead developer
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.
John Hunter
John Hunter received his Ph.D. in Neurobiology from the University of
Chicago for experimental and numerical modeling work on the 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 a Senior
Quantitative Analyst at TradeLink Securities. An avid python programmer
and lecturer in scientific computing in python, he is the creator
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 was initially responsible
for calibrating the Faint Object Camera for the Hubble Space Telescope,
but for the last 15 years has been leading the Science Software
Branch. He has pioneered the use of Python in astronomy, and his group
has been heavily involved in Python for the last 12 years. They have
developed PyRAF, numarray (the precursor to current numpy capabilities),
PyFITS, and were heavily involved in the development and support of
matplotlib. His group is now involved in developing the science
software to support the next large space telescope under construction,
the James Webb Space Telescope.
Prabhu Ramachandran
Dr Prabhu has been a faculty member at the department of Aerospace Engineering,
IIT Bombay since 2005. He has a PhD in Aerospace Engineering from IIT Madras.
His research interests are primarily in particle methods and applied scientific
computing. He has been active in the FOSS community for more than a decade.
He co-founded the Indian Linux User Group - Chennai (ILUGC) in 1998 and is the
creator and lead developer of the (FOSS-India-award-winning) Mayavi and TVTK
Python packages. Prabhu has contributed to the Python wrappers of the
Visualization Toolkit (VTK). He is an active member of the SciPy community and
a member of the Python Software Foundation (PSF). In 2009, he gave the keynote
address at India's first PyCon. Prabhu currently heads the FOSSEE project
(http://fossee.in) which aims to spread the use of Python (and other Free
Software) in the curriculum.
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.
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.
Satrajit Ghosh
Satrajit Ghosh is a research scientist at the 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.
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
TalentSprint. 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.
