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NCSI Seminar: Computational Health: Blending Big Data, Computation, and Analytics

There has never been a better time to bring modern computation and analytics to inform individualized treatments and interventions for our most vulnerable populations. Current approaches to studying these adverse outcomes relies on averages across a population and does not consider retrospective information across patients with similar profiles. In this talk, I will discuss our multi-disciplinary team and our current methods blending computation, big data and visual analytics to individualize obstetric and perinatal healthcare. 


NCSI Committee

1:00 p.m. ET - NIST Gaitherburg 223/B309

11:00 a.m. MT - (VTC to Boulder Room 2-0113)

Kelly Gaither, Texas Advanced Computing Center (TACC) at the University of Texas at Austin 

Bio: Kelly received her Bachelors and Masters in Computer Science at Texas A&M University. After completing her PhD in Computational Engineering from Mississippi State University in 2001, Gaither joined the Texas Advanced Computing Center (TACC) at the University of Texas at Austin where she was the Director of Visualization until 2017. She is now the Director of Health Analytics at TACC with a joint appointment as an Associate Professor in Women’s Health at the Dell Medical School.  She is a Co-PI on the NSF  XSEDE award.

Outside attendees need to contact Barry Schneider in order to obtain the site badges required to enter NIST grounds and to attend the seminar. 24 hour notice is required for US citizens and 3 days for non-US citizens. Please contact bis [at] (bis[at]nist[dot]gov) to be added to the visitor list. Visitors must check in at the NIST Visitor Center to pick up their badges. A photo ID is required for US citizens and a passport or green card for foreign nationals. 

Created December 3, 2018