Ewa Deelman

Ewa Deelman is an American computer scientist specializing in distributed computing and cloud computing for applications in scientific computing. Her contributions include leading the design of the Pegasus scientific workflow management system, used by the LIGO scientific collaboration to detect gravitational waves from binary black holes. She is a research professor of computer science in the USC Viterbi School of Engineering, and a principal scientist at the Information Sciences Institute, both part of the University of Southern California. Provided by Wikipedia
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  1. 1
    HNF1B and endometrial cancer risk: results from the PAGE study.

    HNF1B and endometrial cancer risk: results from the PAGE study. by Veronica Wendy Setiawan, Jeffrey Haessler, Fredrick Schumacher, Michele L Cote, Ewa Deelman, Megan D Fesinmeyer, Brian E Henderson, Rebecca D Jackson, Jens-S Vöckler, Lynne R Wilkens, Shagufta Yasmeen, Christopher A Haiman, Ulrike Peters, Loïc Le Marchand, Charles Kooperberg

    Published 2012-01-01
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  2. 2
    Pleiotropy of cancer susceptibility variants on the risk of non-Hodgkin lymphoma: the PAGE consortium.

    Pleiotropy of cancer susceptibility variants on the risk of non-Hodgkin lymphoma: the PAGE consortium. by Unhee Lim, Jonathan M Kocarnik, William S Bush, Tara C Matise, Christian Caberto, Sungshim Lani Park, Christopher S Carlson, Ewa Deelman, David Duggan, Megan Fesinmeyer, Christopher A Haiman, Brian E Henderson, Lucia A Hindorff, Laurence N Kolonel, Ulrike Peters, Daniel O Stram, Maarit Tiirikainen, Lynne R Wilkens, Chunyuan Wu, Charles Kooperberg, Loïc Le Marchand

    Published 2014-01-01
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  3. 3
    Phenome-wide association study (PheWAS) for detection of pleiotropy within the Population Architecture using Genomics and Epidemiology (PAGE) Network.

    Phenome-wide association study (PheWAS) for detection of pleiotropy within the Population Architecture using Genomics and Epidemiology (PAGE) Network. by Sarah A Pendergrass, Kristin Brown-Gentry, Scott Dudek, Alex Frase, Eric S Torstenson, Robert Goodloe, Jose Luis Ambite, Christy L Avery, Steve Buyske, Petra Bůžková, Ewa Deelman, Megan D Fesinmeyer, Christopher A Haiman, Gerardo Heiss, Lucia A Hindorff, Chu-Nan Hsu, Rebecca D Jackson, Charles Kooperberg, Loic Le Marchand, Yi Lin, Tara C Matise, Kristine R Monroe, Larry Moreland, Sungshim L Park, Alex Reiner, Robert Wallace, Lynn R Wilkens, Dana C Crawford, Marylyn D Ritchie

    Published 2013-01-01
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  4. 4
    A phenome-wide association study (PheWAS) in the Population Architecture using Genomics and Epidemiology (PAGE) study reveals potential pleiotropy in African Americans.

    A phenome-wide association study (PheWAS) in the Population Architecture using Genomics and Epidemiology (PAGE) study reveals potential pleiotropy in African Americans. by Sarah A Pendergrass, Steven Buyske, Janina M Jeff, Alex Frase, Scott Dudek, Yuki Bradford, Jose-Luis Ambite, Christy L Avery, Petra Buzkova, Ewa Deelman, Megan D Fesinmeyer, Christopher Haiman, Gerardo Heiss, Lucia A Hindorff, Chun-Nan Hsu, Rebecca D Jackson, Yi Lin, Loic Le Marchand, Tara C Matise, Kristine R Monroe, Larry Moreland, Kari E North, Sungshim L Park, Alex Reiner, Robert Wallace, Lynne R Wilkens, Charles Kooperberg, Marylyn D Ritchie, Dana C Crawford

    Published 2019-01-01
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