I began my career as a biologist, but found that every question that interested me could only be answered
by solving an even more intriguing statistical puzzle. Thus my career path veered into statistics. However,
much of my work, both theoretical and applied, remains motivated by my scientific training.
The collaborative research I have enjoyed most is in the area of statistical genetics and genomics. Right now,
a topic that interests me greatly is the use of statistical tools applied to genetic and genomic data to understand
the workings of the human brain, and the interplay with genetic variation. My collaborative work is primarily motivated
by the goal of understanding the genetic etiology of autism. We develop new tools for the analysis of single-cell RNA
sequencing data and other multiomic data. These methods rely on various statistical methods, including graphical modeling,
network community estimation and latent space embedding, sparse PCA and high dimensional nonparametric techniques.
We aim to develop cutting edge statistical tools based on the latest ideas in statistics and machine learning, remembering
that the most satisfying aspect of statistics, occurs when methods we develop are applied to answer important scientific
questions.
Postdoctoral Research Scientist position open for July 2022 This is a two year postdoctoral position in Professor Kathryn Roeder's research group, co-directed by Professor Jing Lei. The successful candidate will apply cutting edge methods in statistics and machine learning to solve scientific problems emerging from genetics, using modern large-scale genomics data such as single-cell sequencing data. We are looking for highly motivated individuals with a strong background in statistical methodology, and a genuine interest in science and data-driven research. Applicants must have (1) a Ph.D. in statistics, biostatistics, computational biology, computer science or other related quantitative field, (2) strong computing skills, (3) good communication skills. Apply at apply.interfolio.com/100233. |
Computational Biology Department |
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UPMC Professor of Statistics and Life Sciences Department of Statistics and Computational Biology Carnegie Mellon University Baker Hall 228B Pittsburgh, PA 15213 Contact: kathryn.roeder (gmail) Phone: (412) 268-5775 Fax: (412) 268-7828 |