Building an open platform for research and education in data science with Project Jupyter - DLS Talk by Fernando Pérez (Lawrence Berkeley National Laboratory)

Date: 
Thursday, February 15, 2018 | 3:30pm - 5:00pm
Location: 
Hugh Dempster Pavilion - Room 110, 6245 Agronomy Rd.

Note:  This talk has been rescheduled from last year

Host:   Mark Greenstreet, UBC Computer Science

Abstract:  TBA

Bio:

I am a staff scientist at the Data Science and Technology Division of Lawrence Berkeley National Laboratory, as well as a researcher at the Berkeley Institute for Data Science (BIDS, an Institute where I am a founding co-investigator). My research interests, shaped over years of working on a number of applied problems in physics, mathematics and neuroscience, revolve around the question of building tools for computational research across all scientific domains.

I am convinced that we need better tools for scientific computing, and that our efforts to build them based on the Python language can make a significant difference to how scientific research is conducted and disseminated. I created the IPython project while a graduate student in 2001 and continue to lead the project, now as a collaborative effort with a talented team that does all the hard work. I am an active member of the community that creates freely available scientific computing tools around the SciPy stack, I regularly lecture about scientific computing in Python and I am a founding board member of the NumFOCUS foundation.


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