Data Institute SF
Annual Conference
University of San Francisco
March 10 to 12, 2019
San Francisco, CA
#DSCO19
In cooperation with
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#DSC019Drawing leaders of industry and academia to explore the latest theoretical advances and technological applications in data science in order to promote the next generation of cross-disciplinary research.
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Tracks
Deep Learning
Design of Experiments
Data Science in Marketing
Network Analysis
Technology and Data Science - Accelerants of the Sustainable Development Goals (SDGs)
High Dimensional Signal Processing and Machine Learning
Workshops
A Hands-on Introduction to Deep Learning Using PyTorch
An Introduction to Computational Statistics in Python
Sequence to Sequence Models with Attention
Augmenting Data Analysis with Data from the US Census
Deep Learning
Design of Experiments
Data Science in Marketing
Network Analysis
Technology and Data Science - Accelerants of the Sustainable Development Goals (SDGs)
High Dimensional Signal Processing and Machine Learning
Workshops
A Hands-on Introduction to Deep Learning Using PyTorch
An Introduction to Computational Statistics in Python
Sequence to Sequence Models with Attention
Augmenting Data Analysis with Data from the US Census
San Francisco - March 10 to 12, 2019
Join us for #DSCO19
This three day conference will include workshops, poster presentations, parallel sessions and plenary talks. In addition to the traditional open exchange of ideas of an academic conference, a key outcome of this conference is the forging of new collaborations across the traditional divide between industry and academia.
Location
101 Howard Street, San Francisco, CA 94105
This three day conference will include workshops, poster presentations, parallel sessions and plenary talks. In addition to the traditional open exchange of ideas of an academic conference, a key outcome of this conference is the forging of new collaborations across the traditional divide between industry and academia.
Location
101 Howard Street, San Francisco, CA 94105
Limited to 350 participants, conference attendees can expect to learn from an invited group of cutting edge researchers from academia and industry addressing the latest advances across the spectrum of data science.
Conference Co-chairs
Sriram Sankar UBER |
James Wilson University of San Francisco |
Conference Committee
Yann Dauphin GOOGLE 
John Palowitch Google 
Claire Lebarz Airbnb 
Alex Cloninger uC san diego 
Anna Ma UC San Diego 
Yannet Interian Univ san Francisco |
Radhika Shah stanford 
Hui Lin NEtlify 
Dane Taylor university of Buffalo 
Christina Choi Eventbrite 
Nathaniel Stevens Univ of Waterloo 
David Uminsky Univ San Francisco |
SPONSORS
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