<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>

    <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"></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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