Bruce A. Corliss
Biomedical engineer with broad background in data science, biostatistics, and bioinformatics driven by 15+ years of scientific programming experience outside of coursework.
Currently a postdoctoral fellow at the School of Data Science in the University of Virginia. My research focuses on novel visualizations for bioinformatics data and developing an alternative to null hypothesis significance test p-vales for analyzing controlled experiments.
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Coding and Research Portfolio
Data Analysis Methods and Visualization
Evaluating Pericyte Marker Discovery Through Single Cell RNA-Seq From Tabula Muris
Mirror Axis Distortion: A Novel Transform and Visualization for Fold Change Data
Contra-Analysis: A Holistic Method for Analyzing Effect Size from Controlled Experiments
CIRCOAST: A Statistical Hypothesis Test for Cellular Colocalization with Network Structures
Quantification and Data Collection
REAVER: A Simple semi-automated program to analyze blood vessel network architecture in 2D images
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Zen Controller: Automation Software for Zeiss Confocal Miscropes Running Zen 2008
Teaching
DS2003: COmmunicating with Data (2022-F, 2023-Sp, University of Virginia)
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