On Wednesday, November 7, 2012 at 12pm CT, the XSEDE Scholars Program is hosting a webinar featuring the exciting research of Rice University Professor, Dr. Genevera Allen and graduate student, Manjari Narayan. To join the session, sign up here by Tuesday, November 6, 2012. The presenters will discuss their research areas:
Date: Wednesday, November 7, 2012
Time: 10:00AM (PST)/12:00PM (CST)/1:00PM (EST)
Title: Developing mathematical tools to understand massive amounts of data in medicine and engineering
Speakers: Rice University Professor, Dr. Genevera Allen and graduate student, Manjari Narayan
Dr. Allen develops mathematical tools to help scientists understand massive amounts of data. Recent technological advances in medicine, neuroscience, and engineering have produced larger and more complex data sets. By using techniques from artificial intelligence, optimization theory, and high-performance computing, Dr. Allen solves the statistical problems arising from these new technologies.
Manjari Narayan works at the intersection of high dimensional statistics and neuroscientific data analysis where her primary focus is to develop new methods that take advantage of the inherent low dimensional structure of complex real world signals such as fMRI images to solve open problems in neuroscience. Currently she is collaborating with neuroscientists in the Houston Medical Center to develop new methods to study functional connectomics.
About the Speakers:
Dr. Genevera Allen is an Assistant Professor in the Departments of Statistics and Electrical and Computer Engineering at Rice University, the Department of Pediatrics-Neurology at Baylor College of Medicine, and the Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital. Dr. Allen develops mathematical tools to help scientists understand massive amounts of data. Recent technological advances in medicine and engineering have produced larger and more complex data sets. By using techniques from artificial intelligence, optimization theory, and high-performance computing, Dr. Allen solves the statistical problems arising from these new technologies. Also as part of her joint position, Dr. Allen works directly with medical researchers to develop the necessary quantitative tools to make discoveries from high-throughput biomedical data. Her work has been applied in areas of neuroimaging, functional genomics, and metabolomics.
Dr. Allen earned her Ph.D. from Stanford U. in Statistics, and her Bachelors in Statistics from Rice U. She has received several awards including being selected to represent North America in the Young Statistician Showcase for the International Biometric Society (2012), the David Byar Young Investigator Travel Award from the American Statistical Association (2011), and grants from the National Science Foundation and Ken Kennedy Institute at Rice University.
Manjari Narayan is a graduate student in the Rice Electrical and Computer Engineering department. She works at the intersection of high dimensional statistics and neuroscientific data analysis where her primary focus is to develop new methods that take advantage of the inherent low dimensional structure of complex real world signals such as fMRI images to solve open problems in neuroscience. Currently she is collaborating with neuroscientists in the Houston Medical Center to develop new methods to study functional connectomics. Manjari received her B.S and M.S in Electrical Engineering from the University of Illinois at Urbana-Champaign and Rice University, respectively. She is the recipient of the 2009 Google Anita Borg Scholarship.
This webinar series highlights the exciting research of students and their faculty advisors within our community and how HPC is used to aid their research efforts. In addition, the sessions will provide a forum for fellow students to discuss similar research efforts and ask questions about the graduate school experience.
