Scholar
Kathryn Roeder
Google Scholar ID: KPxl53wzvv4C
Professor of Statistics, Carnegie Mellon University
Citations & Impact
Citations
26,043
H-index
59
i10-index
128
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Her collaborative work is primarily motivated by the goal of understanding the genetic etiology of autism and other neuropsychiatric disorders. She has a strong interest in applying statistical tools to genetic and genomic data to solve biological problems.
Research Experience
- UPMC Professor of Statistics and Life Sciences at Carnegie Mellon University's Department of Statistics and Computational Biology. Her work focuses on developing new tools for analyzing rare genetic variants in the genome, single-cell RNA sequencing data, and other multi-omic data. These methods rely on various statistical and machine learning approaches such as graphical modeling, network community estimation, latent space embedding, sparse PCA, and high-dimensional nonparametric techniques.
Background
- Began career as a biologist but transitioned into statistics. Research interests lie in statistical genetics and genomics, particularly using statistical tools to understand the human brain and its interplay with genetic variation. The primary goal of her research group is to develop statistical tools for finding associations between patterns of genetic variation and complex disease.
Miscellany
- Contact: roeder at andrew.cmu.edu, Phone: (412) 268-5775, Fax: (412) 268-7828.
Co-authors