Xiaole Shirley Liu
Xiaole Shirley Liu (刘小乐) is a Professor in the Department of Data Sciences at the Dana–Farber Cancer Institute and Harvard T.H. Chan School of Public Health.[4][2][5][6][7]
Xiaole Shirley Liu | |
|---|---|
_(cropped_-_Xiaole_Shirley_Liu).jpg.webp) Liu receiving her International Society for Computational Biology fellowship in 2019 | |
| Born | 刘小乐 |
| Alma mater | Smith College (BA) Stanford University (PhD) |
| Awards | ISCB Fellow (2019)[1] Breast Cancer Research Foundation Investigator ISCB Innovator Award (2020) Benjamin Franklin Award (Bioinformatics) (2020) |
| Scientific career | |
| Fields | |
| Institutions | Dana–Farber Cancer Institute Harvard University |
| Thesis | Discovery of transcription factor binding sites using computational statistics (2002) |
| Doctoral advisor | Douglas Brutlag[3] Jun S. Liu[4] |
| Website | liulab |
Education
She was educated at Stanford University where her thesis committee included Douglas Brutlag, Jun S. Liu, Russ Altman, Patrick O. Brown and Rob Tibshirani.[3]
Awards and honours
She was elected a Fellow of the International Society for Computational Biology (ISCB) in 2019 for her “outstanding contributions to the fields of computational biology and bioinformatics”.[1]
References
- Anon (2019). "ISCB Fellows". iscb.org. International Society for Computational Biology. Archived from the original on 2019-03-30.
- Xiaole Shirley Liu publications indexed by Google Scholar
- Liu, Xiaole Shirley (2002). Discovery of transcription factor binding sites using computational statistics (PhD thesis). Stanford University. OCLC 84915802. ProQuest 305549892.
- Xiaole Shirley Liu at the Mathematics Genealogy Project
- Xiaole Shirley Liu's ORCID 0000-0003-4736-7339
- Xiaole Shirley Liu at DBLP Bibliography Server
- Zhang, Yong; Liu, Tao; Meyer, Clifford A; Eeckhoute, Jérôme; Johnson, David S; Bernstein, Bradley E; Nussbaum, Chad; Myers, Richard M; Brown, Myles; Li, Wei; Liu, X Shirley (2008). "Model-based Analysis of ChIP-Seq (MACS)". Genome Biology. 9 (9): R137. doi:10.1186/gb-2008-9-9-r137. ISSN 1465-6906. PMC 2592715. PMID 18798982.
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