Computational & Systems Biology Program
The Christina Leslie Lab
Research

Our lab develops novel computational methods to study cellular biological systems from a global and data-driven perspective. We seek to exploit diverse, high-throughput functional and genomic data to understand the molecular networks underlying fundamental cellular processes, including regulation of transcription, pre-mRNA processing, signaling, and post-transcriptional gene silencing. Our algorithmic methods draw on machine learning, a computational field concerned with learning accurate, predictive models from noisy and high-dimensional data.
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Christina Leslie, PhD
Member, Computational & Systems Biology Program
- Computational biologist Christina Leslie focuses on developing machine learning algorithms for computational and systems biology.
- PhD, University of California, Berkeley
- cleslie@cbio.mskcc.org
- Email Address
- 646-888-2762
- Office Phone
Members

Graduate Student

Graduate Student

Graduate Student

Research Scholar

Research Fellow

Research Assistant

Graduate Student

Research Fellow
Lab Alumni

Graduate Student

Graduate Student
Graduate Student
Research Scholar

Graduate Student

Research Associate

Research Scholar

Research Fellow

Graduate Student
Research Scholar
Lab Affiliations
Achievements
- Introduction of string kernel methodology for SVM classification of biological sequences
- Development of algorithms for predictive modeling of gene regulation
- First systems-level analyses of competition between microRNAs and between target transcripts
Get in Touch
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Lab Head Email
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Office Phone
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Office Fax