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2019 SBDH All Hands Meeting - Panel 3: Industry Panel

Beverly Wright, PhD. Chief Analytics Officer, RelationalAI. Venkat Kambalapally. Staff Vice President, Technology, Anthem, Inc. Robert Joseph, PhD. Director of Industrial Strategy, Stanley Black…

From  Kathryn Gentilello 3 Months ago 2 views 0  

2019 SBDH All Hands Meeting - Cyber-Infrastructure and Social-Cybersecurity Working Groups

Cyber-Infrastructure Working Group: Niall Gaffney, PhD. Director of Data Intensive Computing, Office of Advanced Cyberinfrastructure / CISE. Texas Advanced Computing Center. Social-Cybersecurity…

From  Kathryn Gentilello 3 Months ago 3 views 0  

2019 SBDH All Hands Meeting - Panel 2: Visionary Projects

Gari Clifford, PhD. Spoke PI, Large Scale Medical Informatics for Patient Care Coordination and Engagement. Emory University. Santiago Grijalva, PhD. Spoke Co-PI, Smart Grids Big Data. Georgia Tech.…

From  Kathryn Gentilello 3 Months ago 4 views 0  

2019 SBDH All Hands Meeting - Panel 1: South Hub Priority Areas

Jay Aikat, PhD. Co-PI, South Big Data Regional Innovation Hub – University of North Carolina-Chapel Hill. David McDowell, PhD. Priority Area Representative Georgia Tech. Heather Bradley, PhD.…

From  Kathryn Gentilello 3 Months ago 2 views 0  

Chaouki T. Abdallah, Srinivas Aluru, Stan Ahalt, Renata Rawlings-Goss - Welcome Remarks and South Hub Impacts and Opportunities

The SBDH All Hands meetings are organized to bring together the SBDH community in order to foster new and support existing data science collaborations, share best practices and resources for data and…

From  Kathryn Gentilello 3 Months ago 5 views 0  

Assembly of Big Genomic Data - Paul Medvedev

As genome sequencing technologies continue to facilitate the generation of large datasets, developing scalable algorithms has come to the forefront as a crucial step in analyzing these datasets. In…

From  Kathryn Gentilello A year ago 17 views 0  

Second Order Machine Learning - Michael Mahoney

A major challenge for large-scale machine learning, and one that will only increase in importance as we develop models that are more and more domain-informed, involves going beyond high-variance…

From  Kathryn Gentilello A year ago 19 views 0