Carnegie Mellon University

GenStats Lab Group

The GenStats research focuses on building statistical and computational models for multi-omic data, such as the genome, proteome, transcriptome and epigenome. By studying these various sources of data, we aim discover complex associations between biological entities and ultimately understand the genetic etiology of neuropsychiatric disorders such as autism and schizophrenia. We are especially interested in characterizing the workings of cells, especially in the brain, using data generated from single-cell omics studies, and to translate these findings to clinical purposes. Please see the web page of Kathryn Roeder for additional information.

Group Members

16 bios displayed.

 Zhanrui Cai

Zhanrui Cai

Post Doctoral Researcher

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David Choi

David Choi

Associate Professor of Statistics and Information Systems

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Max G'Sell

Max G'Sell

Associate Professor

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Peng Liu

Peng Liu

Postdoctoral Researcher

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Haeun Moon

Haeun Moon

Postdoctoral Researcher

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Kathryn  Roeder

Kathryn Roeder

UPMC Professor of Statistics and Life Sciences

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Xuran Wang

Xuran Wang

Postdoctoral Researcher

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Ron Yurko

Ron Yurko

Assistant Teaching Professor

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Tianyu Zhang

Tianyu Zhang

Postdoctoral Researcher

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Research Area