Joshua D. Campbell, Ph.D.
Assistant Professor, Section of Computational Biomedicine, Department of Medicine, BUSM
Joshua Campbell received his Bachelor’s degree from Anderson University with degrees in Biology, Computer Science, and Mathematics. He earned a Ph.D. in Bioinformatics from Boston University in the lab of Avrum Spira and Marc Lenburg to identify mechanisms of COPD pathogenesis. He then performed his postdoctoral research at Dana-Farber Cancer Institute and the Broad Institute of Harvard and MIT with Matthew Meyerson where he worked with The Cancer Genome Atlas (TCGA) to identify novel mutational drivers of lung cancer. He is currently an assistant professor in the Department of Medicine at Boston University School of Medicine (BUSM) where he develops novel Bayesian approaches to analyze genomic data in the setting of cancer. He is also the co-scientific director of the BU Medical Campus Single Cell Sequencing core.
Research: I am a Ph.D. candidate in Bioinformatics Program at Boston University. I joined the lab in 2017 and worked on developing scruff, a preprocessing and QC pipeline for single-cell RNA-seq data in R. Now I am working on developing a multi-modal clustering method for CITE-seq data.
Research: I am a PhD Candidate in the Bioinformatics Program. I previously worked at the Broad Institute to build Copy Number Analysis tools into the Genome Analysis Tool Kit (GATK). Currently I am building an R package for mutational signature deconvolution and prediction.
Research: I am a Ph.D. candidate in the Bioinformatics Program at Boston University. I previously worked at University of Pennsylvania as Research Assistant to build a computational pipeline to identify RNA-editing events for single-cell RNA-seq data. Now I am focusing on building an R package for single-cell ATAC-seq data analysis and visualization.
Research: I am a Statistics Ph.D. candidate at Boston University. Currently, I’m developing novel Bayesian models for the single cell analysis. Previously, I was a staff member at MIT Lincoln Laboratory where I developed tools for text analytics and signal processing.
Research: I am a Ph.D. student in the Bioinformatics Program at Boston University. I previously worked as a computational analyst in the Campbell lab where I focused on understanding mutational profiles in prostate cancers from African Americans. I am currently developing a comprehensive and interactive pipeline for the quality control of single cell transcriptomic data.
Primary mentor: Andrew Emili
Research: I am a bioinformatics Ph.D. student at Boston University. My research interests fall in the area of network biology, where I aim to develop novel methods to make sense of the multitude of connections that underpin biological systems. My main project with the Campbell Lab is the decision tree marker discovery algorithm for single-cell data. Outside of bioinformatics, my hobbies include reading, tennis, and a passion for soccer.
Research: I am a Bioinformatics Analyst and was previously a masters student in the Bioinformatics program at Boston University. I am currently studying the effect of combined treatment of ASA and zileuton on biomarkers of tobacco-related carcinogenesis in current smokers. In addition, I’m developing analysis tools for copy number variation as part of our single cell analysis pipeline.
Research: I am a Master’s student in the bioinformatics program. My undergraduate background is in physics, where I gained some experience with computational tools and discovered an interest in biological applications. I joined the lab in the summer of 2019, working on analysis of single-cell RNA-seq data in R. My current role in the lab involves refining a pipeline to apply analysis tools to new datasets.
Research: I graduated from Bioinformatics Master’s Program at Boston University and am working as a Bioinformatic Analyst at BU. During my study in the field, I have gained experiences in developing tools for single-cell RNA-seq data analysis and genome assembly, in both R and Python. I am currently working on singleCellTK and focusing on user interface building as well as computational package writing. Outside of Bioinformatics, I do a lot of acoustic guitar rearranged cover of J-pop music.
Research: I am a Computer Science graduate and have focused on development of interactive computational tools for analysis of high-throughput biological data. Previously, I developed a standalone and streamlined interactive tool for easy analysis of microarray data. My current work revolves around development of various parts of the ‘singleCellTK’ shiny R-based toolkit and an R package to manage subsets of Bioconductor experiment objects.
Research: I am a software engineer at Boston University’s Software and Application Innovation Lab (SAIL). I completed my undergraduate degree in computer science at BU as well, and am now pursuing a master’s in artificial intelligence. At SAIL, I work primarily on natural science related projects, including helping with the UI on the Single Cell Toolkit app.