Ilkay Altintas

Chief Data Science Officer, San Diego Supercomputer Center

Ilkay Altintas is the chief data science officer at the San Diego Supercomputer Center (SDSC), UC San Diego, where she is also the founder and director for the Workflows for Data Science Center of Excellence. Since joining SDSC in 2001, she has worked on different aspects of dataflow-based computing and workflows as a principal investigator and in other leadership roles across a wide range of cross-disciplinary NSF, DOE, NIH, and Moore Foundation projects.

Ilkay is a co-initiator of and an active contributor to the popular open-source Kepler Scientific Workflow System and the co-author of publications related to computational data science and e-Sciences at the intersection of scientific workflows, provenance, distributed computing, bioinformatics, observatory systems, conceptual data querying, and software modeling.

Ilkay is the inaugural recipient of the SDSC Pi Person of the Year (2014) and the IEEE TCSC Award for Excellence in Scalable Computing for Early Career Researchers (2015).


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News for: Ilkay Altintas

Speaker at FiRe 2018

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SC19 Invited Talk: Next Generation Disaster Intelligence Using the Continuum ...
Posted on 13 Dec 2019 at 7:58am

Can ‘Big Data’ Help Fight Big Fires? Firefighters Are Betting on It
Posted on 24 Jun 2019 at 2:10am

SDSC Chief Data Science Officer Ilkay Altintas Named an HDSI Fellow
Posted on 30 Oct 2018 at 2:59pm

CENIC Recognizes Technology Projects to Combat California Wildfires
Posted on 12 Feb 2018 at 4:00pm

The Use of HPC to Model the California Wildfires
Posted on 24 Apr 2018 at 7:32am

Supercomputers Assist Firefighters As Wildfires Spread In California
Posted on 18 Nov 2018 at 6:34am

Analytic Ventures forms advisory board
Posted on 18 Jul 2018 at 8:03am

UC San Diego professor develops tool to help crews fight wildfires
Posted on 22 Oct 2019 at 8:52am

UC's race to stay ahead of wildfires
Posted on 14 Nov 2019 at 1:02pm

SDSC Names Ilkay Altintas Chief Data Science Officer
Posted on 12 Aug 2015 at 5:00pm



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