Biography:Christina Curtis
Christina Curtis | |
|---|---|
 Curtis in 2021 | |
| Alma mater | University of California, Los Angeles Heidelberg University University of Southern California |
| Scientific career | |
| Fields | Cancer genomics Tumor evolution Computational biology Early detection[1] |
| Institutions | Stanford University University of Cambridge |
| Thesis | Analysis of high-density oligonucleotide gene expression data for dissecting aging pathways (2007) |
| Doctoral advisor | Simon Tavaré[2] |
| Website | {{{1}}} |
Christina Curtis is an American scientist who is a Professor of Medicine, Genetics and Biomedical Data Science and an Endowed Scholar at Stanford University[1][3] where her research investigates the evolution of tumors.[4] She is director of Artificial Intelligence and Cancer Genomics at Stanford University School of Medicine and is on the board of directors of the American Association for Cancer Research.
Early life and education
Curtis decided that she wanted to work on cancer treatments when she was a teenager.[5] She was an undergraduate student at the University of California, Los Angeles[6] and did a masters degree at Heidelberg University.[7] She moved to the University of Southern California for graduate studies, where she earned both a master's and a doctoral degree.[8] She completed her PhD in molecular and computational biology in 2007 supervised by Simon Tavaré.[2][9]
Research and career
Curtis was a postdoctoral researcher at the University of Cambridge, where she spent three years before returning to the faculty at the University of Southern California.[citation needed]
Curtis has leveraged computational modeling to better understand breast cancer, providing insight into the evolution and metastasization of tumors.[10] She established the Cancer Computational and Systems Biology group.
Curtis uses computer simulations to understand genetic mutations in tumor samples.[11] She believes that breast cancer tumors have genetic differences that respond differently to treatments.[11] In 2019, she combined molecular analysis and historical clinical data to create the largest breast cancer cohort. In this cohort she found four groups of tumors that occur later in life, up to 20 years after the initial cancer diagnosis. She also found a subset of breast cancer tumors that do not recur after five years.[12] To this end, Curtis believes that tumors with metastatic potential have this from the start – they are "born to be bad".[5]
In 2022, Curtis was appointed director of Artificial Intelligence and Cancer Genomics at the Stanford Cancer Institute.[citation needed]
Awards and honors
- 2011 Breast Cancer Research Foundation The Ulta Beauty Award[9]
- 2012 V Scholar Grant[13]
- 2016 Kavli Foundation Frontiers of Science Fellow[14]
- 2018 National Institutes of Health Director's Pioneer Award[11]
- 2020 Susan G. Komen Scholar[15]
- 2022 American Association for Cancer Research Award for Outstanding Achievement in Basic Science[16]
Selected publications
References
- ↑ 1.0 1.1 {{Google Scholar id}} template missing ID and not present in Wikidata.
- ↑ 2.0 2.1 Christina Curtis at the Mathematics Genealogy Project
- ↑ Christina Curtis publications from Europe PubMed Central
- ↑ , Wikidata Q92858397
- ↑ 5.0 5.1 "Christina Curtis, PhD, MSc: Researching Ways to Intercept Cancer at Its Earliest Stages" (in en). American Association for Cancer Research. https://www.aacr.org/about-the-aacr/newsroom/pioneers-and-innovators/christina-curtis-phd-msc-researching-ways-to-intercept-cancer-at-its-earliest-stages/.
- ↑ Template:Linkedin
- ↑ "Christina Curtis". Stanford Medicine. https://med.stanford.edu/profiles/christina-curtis.
- ↑ Curtis, Christina (2007). Analysis of high-density oligonucleotide gene expression data for dissecting aging pathways (PhD thesis). University of Southern California. ISBN 978-0-549-83622-3. ProQuest 304825898.
- ↑ 9.0 9.1 "Christina Curtis" (in en). Breast Cancer Research Foundation. 2014-06-24. https://www.bcrf.org/researchers/christina-curtis.
- ↑ "Meet the Team". https://med.stanford.edu/curtislab/team.html.
- ↑ 11.0 11.1 11.2 "Pioneer Award Program - Program Highlights" (in en). 2013-06-26. https://commonfund.nih.gov/pioneer/programhighlights.
- ↑ Rueda, Oscar M.; Sammut, Stephen-John; Seoane, Jose A.; Chin, Suet-Feung; Caswell-Jin, Jennifer L.; Callari, Maurizio; Batra, Rajbir; Pereira, Bernard et al. (March 2019). "Dynamics of breast-cancer relapse reveal late-recurring ER-positive genomic subgroups". Nature 567 (7748): 399–404. doi:10.1038/s41586-019-1007-8. ISSN 1476-4687. PMID 30867590. Bibcode: 2019Natur.567..399R.
- ↑ Fletcher, Alexandra (2012-10-30). "Christina Curtis wins young investigator award" (in en-US). University of Southern California. https://stemcell.keck.usc.edu/keck-school-professor-wins-young-investigator-award/.
- ↑ "Christina Curtis". http://www.nasonline.org/programs/kavli-frontiers-of-science/frontiers-alumni/alumni-directory/christina-curtis.html.
- ↑ "Meet Our Scholars" (in en-US). Susan G. Komen. https://www.komen.org/breast-cancer-research/meet-our-scholars/.
- ↑ Jarrett, Keke (2022-04-09). "AACR honors elite group with scientific achievement awards and lectureships" (in en-US). AACR Annual Meeting News. https://www.aacrmeetingnews.org/news/aacr-honors-elite-group-with-scientific-achievement-awards-and-lectureships/.
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