Carnegie Mellon University · Mathematics & StatisticsThe GeneMind Lab
Kathryn M Roeder · Pittsburgh, Pennsylvania
Research Focus
Dr. Kathryn Roeder's lab at Carnegie-Mellon University specializes in developing advanced statistical methods to analyze how genetic variations influence mental health. The team focuses on using techniques like CRISPR screening to study gene expression at the single-cell level, which helps to uncover the complex interactions between genes and their roles in psychiatric disorders. By integrating and interpreting high-dimensional genomic data, the lab seeks to better understand the biological mechanisms underlying mental illness.
CRISPRgenetic variationgene expressionmental healthsingle-cell analysisstatistical methodsmultiomic datapsychopathologymachine learning
Research Aims
4AIM 01Develop statistical tests to evaluate the effects of CRISPR perturbations on gene expression.
AIM 02Create methods to identify and control unmeasured confounders in high-throughput genetic screens.
AIM 03Advance techniques for imputation and denoising of multiomic datasets to enhance data reliability.
AIM 04Integrate single-cell and tissue-level transcriptomic data to identify gene interactions involved in mental illnesses.
Skills the Lab Values
CRISPR screeningstatistical modelingsingle-cell RNA sequencingdata imputationlatent variable analysisbioinformaticsprogramming in R or Pythonhigh-dimensional data analysisexperimental design
Output against the department
Publications351top 30% of dept.39th of 131
this lab
most publishedleast published
Citations53ktop 7% of dept.9th of 131
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.