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Speakers

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KEYNOTE SPEAKER

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Dr. Ajith Kumar

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Nelle Varoquaux

- (a postdoctoral fellow at the Department of Statistics at UC Berkeley and a BIDS data science fellow.) - -


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His main area of work is development of instrumentation for particle accelerators and associated experiments, including radio-frequency accelerating structures, control and data acquisition systems, digital and radio frequency electronics modules. He initiated the Phoenix / expEYES project. ExpEYES is currently the cheapest educational system to teach science. - She received a PhD in computational biology from École des Mines de Paris in 2015. Her research interests are in statistical machine learning and scientific computing applied to molecular biology problems, such as inferring the 3D architecture of the genome or data-integration methods to better understand gene regulatory networks. Recently, as part of the interdisciplinary institute BIDS, she also studies open-source communities and contributiors in collaboration with social scientists.
- She is a core-developer of scikit-learn, MarkUs and Matplotlib, was Program Chair for Scipy in 2015 and 2016. -
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Speakers

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Speaker
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Dr. Ajith Kumar
(scientist working with the IUAC.)
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His main area of work is development of instrumentation for particle accelerators and associated experiments, including radio-frequency accelerating structures, control and data acquisition systems, digital and radio frequency electronics modules. He initiated the Phoenix / expEYES project. ExpEYES is currently the cheapest educational system to teach science.

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Keynote Speaker
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Nelle Varoquaux
(a postdoctoral fellow at the Department of Statistics at UC Berkeley and a BIDS data science fellow.) +
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She received a PhD in computational + biology from École des Mines de Paris in 2015. Her research interests are in + statistical machine learning and scientific computing applied to molecular + biology problems, such as inferring the 3D architecture of the genome or + data-integration methods to better understand gene regulatory + networks. Recently, as part of the interdisciplinary institute BIDS, she also + studies open-source communities and contributiors in collaboration with social + scientists. +

+ She is a core-developer of scikit-learn, MarkUs and Matplotlib, was Program + Chair for Scipy in 2015 and 2016. +

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Sponsor

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Thank you for your interest to sponsor Scipy India 2017.

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- SciPy India, an annual conference organized by FOSSEE (Free and Open Source Software for Education) based at IIT Bombay, provides the opportunity to unfurl the use of the Python programming language in the Scientific Computing community in India. SciPy India being organized since 2009, attracts more than 250 students and faculty every year. This conference provides the participants with a unique opportunity to interact and connect with the Python community. -

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- Here’s a call to the interested organizations to sponsor this conference and get associated with the event. Through this sponsorship, you could engage with top professionals and enhance your organization’s brand visibility amongst Python users. -

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Sponsor

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Thank you for your interest to sponsor Scipy India 2017.

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+ SciPy India, an annual conference organized by FOSSEE (Free and Open Source Software for Education) based at IIT Bombay, provides the opportunity to unfurl the use of the Python programming language in the Scientific Computing community in India. SciPy India being organized since 2009, attracts more than 250 students and faculty every year. This conference provides the participants with a unique opportunity to interact and connect with the Python community. +

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+ Here’s a call to the interested organizations to sponsor this conference and get associated with the event. Through this sponsorship, you could engage with top professionals and enhance your organization’s brand visibility amongst Python users. +

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