Advisory Board and Editors Computational Biology

Journal Factsheet
A one-page PDF to help when considering journal options with co-authors
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I told my colleagues that PeerJ is a journal where they need to publish if they want their paper to be published quickly and with the strict peer review expected from a good journal.
Sohath Vanegas,
PeerJ Author
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Fiona S. Brinkman

Professor in Bioinformatics and Genomics, Department of Molecular Biology and Biochemistry, Simon Fraser University. Michael Smith Foundation for Health Research Senior Scholar. Awards include BC Innovation and Science Council YI, Canadian Society of Microbiologists Fisher Award, Women's Executive Network - Canada's Top 100 Women, TR100 award from MIT.

Saverio Brogna

Lecturer and principal investigator at the School of Biosciences of the University of Birmingham, UK. Interested in eukaryotic gene expression and particularly in understanding the links between RNA processing and translation.

At present his group research focuses on understanding nonsense mediated mRNA decay (NMD) and its links with pre-mRNA splicing.

Christopher D. Brown

Assistant Professor, Department of Genetics, Perelman School of Medicine, University of Pennsylvania.

C. Titus Brown

Titus Brown received his BA in Math from Reed College in 1997, and his PhD in Developmental Biology at Caltech in 2006. He has worked in digital evolution, climate measurements, molecular and evolutionary developmental biology, and both regulatory genomics and transcriptomics. His current focus is on using novel computer science data structures and algorithms to explore big sequencing data sets from metagenomics and transcriptomics.

A. Max Burroughs

Currently a research scientist at the Computational Biology Branch, part of the National Center for Biotechnology Information (NCBI) in the National Library of Medicine (NLM), one of the institutes making up the National Institutes of Health (NIH). Research involves the identifying and understanding of large-scale evolutionary trends in genomes and proteins and how these affect diversification and adaptation, leveraging comparative genome analyses to predict novel biochemical activities, interactions, and functions of biomolecules, and identifying novel non-coding RNA and their features through analysis of high-throughput sequence data.

Vince Calhoun

Dr. Calhoun is currently Executive Science Officer at the Mind Research Network and Professor in the Departments of Electrical and Computer Engineering at the University of New Mexico. He is the author of over 250 full journal articles and over 350 conference proceedings. His focus is the development of data driven approaches for the analysis of brain imaging data, data fusion of multi-modal imaging and genetics data, and the identification of biomarkers for disease.

Reed A Cartwright

Head of Human and Comparative Genomics Laboratory in the Biodesign Institute at Arizona State University. Affiliated faculty with the Center for Evolution and Medicine, ASU.

My research is at the interface of genetics, statistics, and software development. I am primarily interested in developing statistical models to estimate evolutionary process from large, genomic datasets. Currently most of my research is connected to mutations.

Eduardo Castro-Nallar

Originally trained as a biochemist, got a PhD in Biological Sciences at The George Washington University, and now is a Professor in the Center for Integrative Ecology and in the Department of Microbiology, Universidad de Talca, Chile.

Eduardo is interested in microbial (meta)genomics, computational biology, and bioinformatics.

Jennifer T Chayes

Chayes is a leader in the field of network science, with applications in computer science, economics, biology and math. She is founder and Managing Director of Microsoft Research New England and NYC, and was previously Professor of Math at UCLA. She received an NSF Postdoctoral Fellowship, a Sloan Fellowship and the ABI Women of Vision Leadership Award. She was a member of the IAS Princeton, is a Fellow of the AAAS, ACM, AMS and is an elected member of the American Academy of Arts and Sciences.

Jun Chen

Assistant Professor of Biostatistics, Mayo Clinic. Ph.D., University of Pennsylvania. My research concerns the development and application of powerful and robust statistical methods for high-dimensional "omics" data, arising from modern high-throughput technologies such as microarray and next-generation sequencing. I am particularly interested in methods for microbiome sequencing data. Much of this effort is motivated by ongoing collaborations in projects that study the role of the human microbiome in disease pathogenesis using metagenomic sequencing.

Research interests include statistical genetics, genomics and metagenomics; and high-dimensional statistics.

Davide Chicco

Davide Chicco is a scientific researcher at the University of Toronto. He received his PhD. from Politecnico di Milano in 2014, and his MSc. in Computer Science from the University of Genoa, Italy in 2010. From September 2018 to January 2020 he was a researcher at the University Health Network (Toronto, Ontario, Canada). Davide Chicco's research centres on biomedical informatics and machine learning.

Michele Clamp

Graduated from Oxford University in physics and proceeded to a physics PhD at Manchester University. Saw the light and came over to biology through protein structure prediction into genome annotation. Founded the Ensembl database alongside Ewan Birney and Tim Hubbard at the Sanger Institute. Crossed the pond to the Broad Institute where many mammals were sequenced and the human gene count trimmed of its fat. Had a short enjoyable interlude in the commercial sphere at Bioteam and is now residing at Harvard University with fingers in many pies.