Computational & Systems Biology Program

The Christina Leslie Lab

Research

Christina Leslie, PhD
Christina Leslie, PhD
Member, Computational & Systems Biology Program

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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The Christina Leslie Lab

Publications

People

Christina Leslie, PhD

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
646-888-2762
Office Phone

Members

Karen Chu
Karen Chu

Graduate Student

Rose  Diloreto
Rose Diloreto

Graduate Student

Alireza Karbalaghareh

Research Scholar

Chirag Krishna
Chirag Krishna

Computational Biology PhD Student

Erik Ladewig
Erik Ladewig

Research Fellow

Yuri Pritykin
Yuri Pritykin

Research Scholar

Merve Sahin

Graduate Student

Henri Schmidt
Henri Schmidt

Research Assistant

Zakieh Tayyebi

Graduate Student

Yi Zhong
Yi Zhong

Research Fellow

Lab Alumni
Sagar Chhangawala
Sagar Chhangawala

Graduate Student

Hyunwoo Cho
Hyunwoo Cho

Graduate Student

Lauren Fairchild

Graduate Student

Meghana Kshirsagar

Research Scholar

Yuheng Lu
Yuheng Lu

Graduate Student

Hatice Osmanbeyoglu
Hatice Osmanbeyoglu

Research Associate

Han Yuan
Han Yuan

Graduate Student

Lee Zamparo

Research Scholar

Lab Affilations

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

Lab News & Events

Upcoming event

Genome-wide Maps of Enhancer Regulation Link Risk Variants to Disease Genes

This seminar will be conducted by Zoom Webinar.

Get in Touch

Disclosures

Doctors and faculty members often work with pharmaceutical, device, biotechnology, and life sciences companies, and other organizations outside of MSK, to find safe and effective cancer treatments, to improve patient care, and to educate the health care community.

MSK requires doctors and faculty members to report (“disclose”) the relationships and financial interests they have with external entities. As a commitment to transparency with our community, we make that information available to the public.

Christina Leslie discloses the following relationships and financial interests:

No disclosures meeting criteria for time period


The information published here is for a specific annual disclosure period. There may be differences between information on this and other public sites as a result of different reporting periods and/or the various ways relationships and financial interests are categorized by organizations that publish such data.


This page and data include information for a specific MSK annual disclosure period (January 1, 2019 through disclosure submission in spring 2020). This data reflects interests that may or may not still exist. This data is updated annually.

Learn more about MSK’s COI policies here. For questions regarding MSK’s COI-related policies and procedures, email MSK’s Compliance Office at ecoi@mskcc.org.


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