PyData Paris - January 2023 Meetup

Mark your calendar for the next session of the PyData Paris Meetup, on January 26th 2023. This Meetup will be hosted by Le CNAM, 292 Rue Saint-Martin, 75003 Paris.

The keynote speaker for this session, that will be dedicated to the use of Jupyter for Education is Lorena Barba. After the keynote, a series of lighning talks by community members.

6:00pm - 6:15pm: Community announcements
6:15pm - 6:45pm: Keynote by Lorena Barba
6:45pm - 7:15pm: Keynote by Fernando Pérez
7:15pm - 7:45pm: Nicolas Audebert (CNAM) - GPU-accelerated interactive classes with Jupyter on a hosted GPU server
7:45pm - 8:30pm: Community lightning talks
8:30pm - 9:30pm: Buffet

Venue
National Conservatory of Arts and Crafts, 292 Rue Saint-Martin, Paris

The meetup will be held in the "Jean-Baptiste Say" auditorium (Entrance 1, at the lower level). For more information, please follow the link below:

https://jhub.cnam.fr/doc/pages/evenements/meetup-pydata-paris-26-janvier/

Bios

Lorena Barba

Lorena A. Barba is professor of mechanical and aerospace engineering at the George Washington University in Washington, DC. She holds a PhD in aeronautics from the California Institute of Technology and BSc/PEng degrees in mechanical engineering from Universidad Técnica Federico Santa María, Chile. Her research interests include computational fluid dynamics, high-performance computing, and computational biophysics.
An international leader in computational science and engineering, she is also a long-standing advocate of open source software for science and education, and she is well known for her courses and open educational resources. She was a recipient of the 2016 Leamer-Rosenthal Award for Open Social Sciences, and in 2017, was nominated and received an honorable mention in the Open Education Awards for Excellence of the Open Education Consortium.

Dr. Barba served (2014–2021) in the Board of Directors for NumFOCUS, a 501(c)3 public charity in the United States that supports and promotes world-class, innovative, open-source scientific software. She is also an expert in research reproducibility, and was a member of the National Academies study committee on Reproducibility and Replicability in Science, which released its report in 2019. She served as the Reproducibility Chair for the SC19 (Supercomputing) Conference, is editor-in-chief and track editor for Reproducible Research in IEEE's Computing in Science Engineers, was founder and associate editor-in-chief for the Journal of Open Source Software and is editor-in-chief of The Journal of Open Source Education. She was General Chair of the global JupyterCon 2020 and was named Jupyter Distinguished Contributor in 2020.

Barba received the NSF Faculty Early CAREER award (2012), was named CUDA Fellow by NVIDIA Corp. (2012), is an awardee of the UK Engineering and Physical Sciences Research Council (EPSRC) First Grant program (2007), and was an Amelia Earhart Fellow of the Zonta Foundation (1999).
In March 2022, Lorena Barba received the degree of Doctor Honoris Causa from her alma mater, Universidad Técnica Federico Santa María, the highest honorific awarded by the university.

Fernando Pérez

Fernando Pérez is an assistant professor in Statistics at UC Berkeley and a Faculty Scientist in the Department of Data Science and Technology at Lawrence Berkeley National Laboratory. After completing a PhD in particle physics at the University of Colorado at Boulder, his postdoctoral research in applied mathematics centered on the development of fast algorithms for the solution of partial differential equations in multiple dimensions. Today, his research focuses on creating tools for modern computational research and data science across domain disciplines, with an emphasis on high-level languages, interactive and literate computing, and reproducible research. He created IPython while a graduate student in 2001 and co-founded its successor, Project Jupyter. The Jupyter team collaborates openly to create the next generation of tools for human-driven computational exploration, data analysis, scientific insight and education.

He is a National Academy of Science Kavli Frontiers of Science Fellow and a Senior Fellow and founding co-investigator of the Berkeley Institute for Data Science. He is a co-founder of the NumFOCUS Foundation, and a member of the Python Software Foundation. He is the recipient of the 2012 Award for the Advancement of Free Software from the Free Software Foundation.

Nicolas Audebert

Nicolas Audebert is an associate professor of Computer Science since 2019. His research focuses on representation learning for automated mapping, image generation and interpreation, and video games.