Our staff come from a variety of backgrounds, but share a common interest and expertise in analysis of large, complex datasets. Some of us have formal biostatistics or bioinformatics training, while others bring analytical skills developed in other areas of science, from biophysics to image processing to evolutionary biology. These varied skill sets allow us to address diverse analytical challenges. We work together to monitor new technology, data types, and analysis methods, so that we can apply the most innovative approaches to researchers’ questions.
RNA-seq analysis, application development, data management
Allergy, single-cell analysis, RNA-seq analysis, data visualization
Type 1 diabetes, high-throughput single-cell sequencing, RNA-seq analysis
Data analysis, machine learning, biostatistics, mass cytometry (CyTOF)
TCR specificity, RNA-seq, data analysis web apps, data processing pipeline