Sylvia Katina Plevritis is Professor and Chair of the Department of Biomedical Data Science at Stanford University.

Sylvia Katina Plevritis
NationalityAmerican
Alma materThe Cooper Union
Stanford University
OccupationEngineer
Known forChair of Biomedical Data Science at Stanford University

Education

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Plevritis holds a Bachelor's in Electrical Engineering from The Cooper Union in 1985, an M.S. in Electrical Engineering from Stanford in 1986, a PhD in Electrical Engineering from Stanford in 1992, and an M.S. in Health Services Research in 1996. She was a NSF fellow for her pre-doctoral work and her dissertation was titled: "Resolution improvements for magnetic resonance spectroscopic images." After her post-doctoral research, she joined Stanford's Department of Radiology as an assistant professor. In 2013, she became a full professor in the department of Radiology and (by courtesy) Management, Science, and Engineering (MS&E). In 2019, she was appointed as professor and chair of Biomedical Data Science at Stanford University.

Research and career

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Plevritis's primary research interests lie in population cancer screening outcomes and developing computational techniques to solve problems within the field of cancer systems biology. In 2006, she was the first to demonstrate the cost-effectiveness of adding MRI to mammography for screening BRCA1/2 mutation carriers.[1]

In 2000, Plevritis led the NCI Cancer Intervention and Surveillance Network (CISNET) to understand the effects of screening and adjuvant therapy on breast cancer trends by molecular subtype [2][3]

In 2004, Plevritis became the Director of the Stanford Center for Cancer Systems Biology (CCSB) and the Director of the Cancer Systems Biology Scholars (CSBS), and the co-Section Chief of the Integrative Biomedical Imaging Informatics at Stanford (IBIIS). Her lab also focuses on developing computational tools to identify heterogeneous molecular features with the tumor microenvironment, such as SPADE, DRUGNEM, PhenoSTAMP, and REMI.[4][5][6]

Awards and honors

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Plevritis received the Distinguished Investigator for the Academy of Radiology Research and Inaugural Award for Basic Scientist of the Year in the Stanford Radiology Department. She is a fellow of the American Institute for Medical and Biological Engineering (AIMBE).[citation needed]

References

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  1. ^ Plevritis, Sylvia K.; Kurian, Allison W.; Sigal, Bronislava M.; Daniel, Bruce L.; Ikeda, Debra M.; Stockdale, Frank E.; Garber, Alan M. (2006-05-24). "Cost-effectiveness of screening BRCA1/2 mutation carriers with breast magnetic resonance imaging". JAMA. 295 (20): 2374–2384. doi:10.1001/jama.295.20.2374. ISSN 1538-3598. PMID 16720823.
  2. ^ Plevritis, Sylvia K.; Munoz, Diego; Kurian, Allison W.; Stout, Natasha K.; Alagoz, Oguzhan; Near, Aimee M.; Lee, Sandra J.; van den Broek, Jeroen J.; Huang, Xuelin; Schechter, Clyde B.; Sprague, Brian L. (2018-01-09). "Association of Screening and Treatment With Breast Cancer Mortality by Molecular Subtype in US Women, 2000-2012". JAMA. 319 (2): 154–164. doi:10.1001/jama.2017.19130. ISSN 0098-7484. PMC 5833658. PMID 29318276.
  3. ^ Munoz, Diego; Near, Aimee M.; van Ravesteyn, Nicolien T.; Lee, Sandra J.; Schechter, Clyde B.; Alagoz, Oguzhan; Berry, Donald A.; Burnside, Elizabeth S.; Chang, Yaojen; Chisholm, Gary; de Koning, Harry J. (November 2014). "Effects of screening and systemic adjuvant therapy on ER-specific US breast cancer mortality". Journal of the National Cancer Institute. 106 (11). doi:10.1093/jnci/dju289. ISSN 1460-2105. PMC 4271026. PMID 25255803.
  4. ^ Qiu, Peng; Simonds, Erin F.; Bendall, Sean C.; Gibbs, Kenneth D.; Bruggner, Robert V.; Linderman, Michael D.; Sachs, Karen; Nolan, Garry P.; Plevritis, Sylvia K. (2011-10-02). "Extracting a Cellular Hierarchy from High-dimensional Cytometry Data with SPADE". Nature Biotechnology. 29 (10): 886–891. doi:10.1038/nbt.1991. ISSN 1087-0156. PMC 3196363. PMID 21964415.
  5. ^ Anchang, Benedict; Davis, Kara L.; Fienberg, Harris G.; Williamson, Brian D.; Bendall, Sean C.; Karacosta, Loukia G.; Tibshirani, Robert; Nolan, Garry P.; Plevritis, Sylvia K. (2018-05-01). "DRUG-NEM: Optimizing drug combinations using single-cell perturbation response to account for intratumoral heterogeneity". Proceedings of the National Academy of Sciences. 115 (18): E4294–E4303. doi:10.1073/pnas.1711365115. ISSN 0027-8424. PMC 5939057. PMID 29654148.
  6. ^ Karacosta, Loukia G.; Anchang, Benedict; Ignatiadis, Nikolaos; Kimmey, Samuel C.; Benson, Jalen A.; Shrager, Joseph B.; Tibshirani, Robert; Bendall, Sean C.; Plevritis, Sylvia K. (2019-12-06). "Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution". Nature Communications. 10 (1): 5587. Bibcode:2019NatCo..10.5587K. doi:10.1038/s41467-019-13441-6. ISSN 2041-1723. PMC 6898514. PMID 31811131.