Advisory Board and Editors Computational Biology

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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.
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Vera Pancaldi

I was trained as a physicist at Imperial College London and soon found my way in systems and computational biology. Since 2018 I lead a computational biology team at the Cancer Research Center of Toulouse (CRCT) working on modelling cancer and its interactions with the immune system.

I have worked on various projects on stress response in fission yeast and prediction of protein interactions (in the group of Jurg Bahler at Sanger Institute/University College London), epigenomics and hybrid vigour in plants (with David Baulcombe at Cambridge University) and integrative epigenomics in cancer (with Alfonso Valencia at CNIO, Madrid and Barcelona Supercomputing Center). My main current focus is understanding the relationship between genome architecture and heterogeneity at various levels and relating heterogeneity of tumour infiltrating immune cells to patient's prognoses in different cancers. I also co-founded Cambridge Networks Network in 2011, an online forum for scientists interested in networks in Cambridge in beyond.

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Jun Pang

Research interests: Formal methods, security and privacy, big data analytics, computational systems biology

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Thiago Parente

Scientist in Public Health at the Laboratory of Functional Genomics and Bioinformatics at the Oswaldo Cruz Institute (IOC, Fiocruz), Rio de Janeiro, Brazil. Scientific coordinator of the Institutional Bioinformatics Platform. CNPq Level 2 Research Productivity Scholar (Genetics). Permanent professor at the Graduate program on Systems and Computational Biology IOC, Fiocruz. Graduated in Biological Sciences - Genetics major - from the Federal University of Rio de Janeiro (2006), with a Master's degree in Cell and Molecular Biology from the IOC (2008) and PhD in Biophysics from UFRJ (2012). Through high performance technologies for DNA sequencing and computational data analysis, I investigate the effects of pollution on fauna, using fish as model organisms, and their responses and genetic adaptations to pollutants, especially those involved in the xenobiotic biotransformation system.

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Yonghong Peng

Dr. Peng is a Professor of Data Science at the University of Sunderland. He is a Principal Investigator in Bioinformatics and Systems Biology and Medicine, and Principal Data Scientist working on Big Data Integration, Data Mining and Computational Intelligence. Dr. Peng's Data Science and BioMedical informatics (DS & BMI) research group focuses on development of innovative data analytics approaches to enable systematical analysis of biological data, medical images, and healthcare data and to gain new knowledge and insights from the integrative analytics of diverse data sources.

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Tomas Perez-Acle

Biologist, PhD in Biotechnology. Director of the Centro BASAL Ciencia & Vida. Head Researcher of the Computational Biology Lab (dLab) at Fundacion Ciencia & Vida, Santiago, Chile. Research Professor at Facultad de Ingeniería y Tecnología, Universidad San Sebastián.

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Ulrich Pfeffer

Ulrich Pfeffer - born on January 23rd, 1958 in Berlin, Fed. Rep of Germany
Education:
1976-1983 Study of Biology, Free University Berlin
1983 Master degree, Free University Berlin
1987 PhD Free University Berlin, Prof. Dr. E-R. Lochmann
2013 Habilitation full professor in Molecular Biology and General Pathology, Ministry of Education, University and Research

Scientific work:
2013-today Senior Staff Scientist, Molecular Pathology, Ospedale Policlinico San Martino, Genova, Head: Franco Fais
2010-2013 Director, Division of Integrated Molecular Pathology, National Cancer Research Institute (IST)
2004-2010 Section Chief, IST, Functional Genomics.
1999-2004 Senior Staff Scientist, IST, Laboratory Molecular Oncology, Head: Dr. A. Albini
1993-1999 Staff scientist, tenure; IST, Genoa, Laboratory of Molecular Biology, Head: Prof. Giorgio Vidali (from 1996-1999: Dr. G. Levi)
1988-1993 Postdoctoral fellow, National Cancer Research Institute (IST), Genoa, Laboratory of Molecular Biology, Head: Prof. G. Vidali
1985-1987 Research fellow , same lab
1984 Research fellow, University of Genoa

Teaching:
2017- today Contract professor for bioinformatics, Biotechnology Bachelor course, University of Genoa
2006-2015 Contract professor for bioinformatics, Biotechnology Master course, University of Genoa
2006-2013 Member of the Board, PhD School in Biotechnology, Lecturer in bioinformatics, University of Genoa

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Stephen R Piccolo

He earned a B.S. degree in Management Information Systems from BYU in 2001 and then worked as a software engineer for five years at Intel Corporation in Chandler, Arizona. In 2011, he received a PhD in Biomedical Informatics from the University of Utah (advised by Dr. Lewis J. Frey). From 2011-2014, he was postdoctoral researcher jointly at the University of Utah (Department of Pharmacology and Toxicology, advised by Dr. Andrea H. Bild) and Boston University School of Medicine (Division of Computational Biomedicine, advised by Dr. W. Evan Johnson). He teaches classes in biology and bioinformatics.

The Piccolo lab's overarching goal is to use advanced computational approaches to act on large and complex data sets in an interdisciplinary approach. As such, the lab integrates knowledge and techniques across biology, computer science, medicine, and statistics using "dry lab biology'' to take advantage of massive, publicly available databases.

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Brett E Pickett

Dr. Brett Pickett is an Assistant Professor in the Microbiology and Molecular Biology Department at Brigham Young University. He completed his B.S degree in Microbiology from BYU in 2005, his Ph.D. training in Microbiology at the University of Alabama at Birmingham, and his postdoctoral training in Pathology at the University of Texas Southwestern Medical Center at Dallas. He then obtained additional experience in industry, and at the J. Craig Venter Institute, where he led investigative studies in viral comparative genomics and the human transcriptional response during viral infection. His research develops data mining methods, applies machine learning techniques, and use advanced statistical workflows to better understand how human cells respond during infection.

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Douglas Pires

Douglas Pires is a Senior Lecturer in Digital Health in the School of Computing and Information Systems at the University of Melbourne. Previously, he was a group leader and researcher in public health at Oswaldo Cruz Foundation/Brazil. He was also a postdoctoral researcher fellow at the University of Cambridge and University of Melbourne. He received a PhD in Bioinformatics from the Universidade Federal de Minas Gerais/Brazil and a BSc in Computer Science, both with highest honours, by the same university. His research interests include: Computational Biology, Translational Bioinformtaics and Machine Learning.

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Katherine S. Pollard

Associate Investigator at Gladstone Institutes and Associate Professor in the Institute for Human Genetics and the Department of Epidemiology & Biostatistics, University of California, San Francisco.

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Adam W Potter

Research Physiologist, US Army Research Institute of Environmental Medicine (USARIEM).

Part-time faculty, School of Science, Technology, Engineering, & Math (STEM), American Public University System (APUS).

Research portfolio spans across the applied sciences, from thermal manikin testing, to the cutting-edge of product development (computer-based decision aids, wireless communications, and wearable sensors). Current scientific work areas include: 1) individualized mathematical modeling of thermoregulatory responses to clothing, environment, activities, with the inclusion of components for rest and recovery, 2) studies of metabolic costs over complex terrain, 3) real-time assessments of ground reaction forces and energy demands during locomotion and load carriage, and 4) innovative approaches to data management and the application of mathematics in integrative physiology.

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Antonella Prisco

Senior Researcher at the Institute of Genetics and Biophysics of the National Research Council.