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    <h2><a name="date">Speakers</a></h2>
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    <h3>The following speakers are invited.</h3>
    <div id="speaker"><div id="speakerphoto"><img alt="Fernando Perez"
        src="/static/img/fperez.jpg" height=220 width=179 /></div>
    <div id="speakerinfo"><h3>Fernando Perez</h3> 
       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.</div>
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    <div id="speaker"><div id="speakerphoto"><img alt="Satrajit"
        src="/static/img/satrajit.jpg" height=155 width=200 /></div>
    <div id="speakerinfo"><h3>Satrajit Ghosh</h3> 
        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.</div>
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    <div id="speaker">
    <div id="speakerphoto"><img alt="Jarrod Millman"
        src="/static/img/jarrod.png" /></div>
       <div id="speakerinfo"><h3>Jarrod Millman</h3>
       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.
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    <div id="speaker">
    <div id="speakerphoto"><img alt="Prabhu Ramachandran"
        src="/static/img/prabhu_ramachandran.jpg" /></div>
       <div id="speakerinfo"><h3>Prabhu Ramachandran</h3>
       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.
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    <div id="speaker">
    <div id="speakerphoto"><img alt="Asokan Pichai"
        src="/static/img/pasokan.jpg" height=119 width=200 /></div>
       <div id="speakerinfo"><h3>Asokan Pichai</h3>
       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.
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    <div id="speaker"><div id="speakerphoto"></div>
    <div id="speakerinfo"><h3>John Hunter</h3> 
      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.
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    <div id="speaker"><div id="speakerphoto"></div>
    <div id="speakerinfo"><h3>Perry Greenfield</h3> 
      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.
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    <div id="speaker"><div id="speakerphoto"></div>
    <div id="speakerinfo"><h3>Stéfan van der Walt</h3> 
        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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