Advisory Board and Editors Databases

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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Radia Perlman

Inventor of innovations that make today's network protocols scalable, robust, and self-organizing. In particular, link state routing, spanning tree, and TRILL. Also, innovations in security including distributed algorithms resilient against malicious participants, assured expiration of data from storage, and PKI trust models.

Awards
- National Inventors Hall of Fame induction (2016)
- Internet Hall of Fame induction (2014)
- SIGCOMM Award (2010)
- USENIX Lifetime Achievement Award (2006)
- Recipient of the first Anita Borg Institute Women of Vision Award for Innovation in 2005
- Silicon Valley Intellectual Property Law Association Inventor of the year (2003)
- Honorary Doctorate, Royal Institute of Technology (June 28, 2000)
- Twice named as one of the 20 most influential people in the industry by Data Communications magazine: in the 20th anniversary issue (1992) and the 25th anniversary issue (1997). Perlman is the only person to be named in both issues.
- Fellow of the Association for Computing Machinery, class of 2016

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.

Ivan Miguel Pires

Dr. Ivan Miguel Pires is a web and mobile developer, and adjunct professor at Instituto Politécnico de Santarém, Portugal.

Related to the back-end development:
He has worked with native PHP and OutSystems, and some PHP frameworks, including Zend, Symfony, Yii, Silex and Wordpress.

Related to the database development:
Dr. Pires has primarily worked with MariaDB and MySQL.

Related to the client-side development:
Dr. Pires has worked with native JavaScript, BackboneJS, UnderscoreJS, jQuery, jQueryUI, AngularJS, Angular 2, Angular 4 and others.

Related to the mobile development:
Dr Pires' primary research experience is related to the Android development. With additional training in Swift 3.

Related to my academic experience:
Dr. Pires was awarded a MSc in Computer Science and Engineering. Following this, his research focused on the use of mobile devices' sensors for the development of a platform related to Ambient Assisted Living.

Dr. Pires was awarded his PhD, and following this, his research has focused on the automatic recognition of Activities of Daily Living to be implemented as a module for the development of a personal digital life coach.

Certifications: Professional Trainer Certification; Scrum Master Certified; Scrum Product Owner Certified; Google Android Programming Certification; Oracle Certified Associate Java SE 7 Programmer; iOS Technical Test; OutSystems Apprentice Developer Certification.

Xavier Pochon

Team Leader, Molecular Surveillance, Biosecurity Group, Cawthron Institute, New Zealand.
Associate Professor, Institute of Marine Science, University of Auckland, New Zealand.

My research at the Cawthron Institute is highly applied and consist of developing multi-trophic molecular tools for environmental monitoring of marine industries (e.g. aquaculture farms, marine biosecurity in ports and marinas, and deep-sea exploration).

At the University of Auckland, I combine 'real-world' and 'blue-sky' research applications, including; i) investigating functional underpinnings of Symbiodiniaceae in coral reef ecosystems, ii) characterizing microbiomes in aquaculture and natural settings, iii) measuring eDNA and eRNA decay rates in marine invertebrates and vertebrates, iv) studying preferential settlement of marine invasive species associated with marine plastic debris, and v) exploring the diversity and dynamics of open-ocean plankton communities in the Pacific and beyond.

Rommel T J Ramos

The Rommel Ramos Professor of Bioinformatics of Federal University of Para (Brazil) affiliated member of Brazilian Science Academy and CNPq Researcher (level 1-D). Since 2008 works with genome assembly and RNA-Seq analysis, he is the leader of the bioinformatic development group of the Biologic Engineering Laboratory in Park of Science and Technology (Pará/Brazil).

Gary Rosenberg

Pilsbry Chair of Malacology, Academy of Natural Sciences of Philadelphia and Professor, Department of Biodiversity, Earth and Environmental Science, Drexel University. Commissioner, International Commission on Zoological Nomenclature. Editor for Mollusca, World Register of Marine Species and MolluscaBase.

His research focuses on the origins and magnitude of diversity of the Mollusca, with active research currently in the Philippines (marine and terrestrial mollusks) and Jamaica (land snails). He uses biodiversity databases to better document the known diversity of mollusks and to estimate their total diversity.

Margo Seltzer

Margo Seltzer the Canada 150 Research Chair in Computer Systems and the Cheriton Family chair in Computer Science at The University of British Columbia. Her research interests are in systems, construed quite broadly: systems for capturing and accessing data provenance, file systems, databases, transaction processing systems, storage and analysis of graph-structured data, new architectures for parallelizing execution, and systems that apply technology to problems in healthcare.

Dr. Seltzer was a co-founder and CTO of Sleepycat Software, the makers of Berkeley DB, recipient of the 2020 ACM SIGMOD Systems Award.
She serves on Advisory Council for the Canadian COVID alert app and
the Computer Science and Telecommunications Board (CSTB) of the (US) National Academies.
She is a past President of the USENIX Assocation and served as the USENIX representative to the Computing Research Association Board of Directors and on the Computing Community Consortium.
She is a member of the National Academy of Engineering, a Sloan Foundation Fellow in Computer Science, and an ACM Fellow. She is recognized as an outstanding teacher and mentor, having received the Phi Beta Kappa teaching award in 1996, the Abrahmson Teaching Award in 1999, the Capers and Marion McDonald Award for Excellence in Mentoring and Advising in 2010, and the CRA-E Undergraduate Research Mentoring Award in 2017.

Reema Singh

Highly accomplished Computational Biologist/Bioinformatician with over 19 years of research expertise. Holds Master's and Ph.D. degrees in Bioinformatics from Chaudhary Charan Singh Haryana Agricultural University and Jawaharlal Nehru University, respectively. A significant portion of early career was spent as Scientist-1 at the Indian Council of Medical Research (2006-2012), where I developed Dlact, an antimicrobial resistance gene database comprising 2020 ß-lactamases from 814 bacterial genomes, utilizing graph-based clustering to identify group-specific signatures. My postdoctoral research in Bioinformatics at the University of Dundee focused on next-generation data analysis of Dictyostelium discoideum development. Subsequently, at the University of Saskatchewan, I developed Gen2Epi, a computational Whole Genome Sequencing pipeline for the integrated analysis of antimicrobial susceptibility and molecular epidemiology in Neisseria gonorrhoeae. Currently, as a Bioinformatician and Data Manager at the Vaccine and Infectious Disease Organization, I am applying my expertise to elucidate host responses to viral infections.

Jacyra Soares

Degree in Meteorology from University of São Paulo (1983), Master in Oceanography (Physical Oceanography) from University of São Paulo (1989) and PhD from University of Southampton, England (1994). In 1995 held postdoctoral activities in the Oceanographic Institute at USP. Experience in Physical Oceanography and Meteorology, with emphasis on numerical modelling and in situ observations of air-sea interaction (oceanic and atmospheric turbulence) and micrometeorology (Planetary boundary layer, turbulence, radiation and energy balances, turbulent fluxes). Study of the atmosphere and ocean in Equatorial and Antarctic regions.

Julia Stoyanovich

Julia Stoyanovich is an Associate Professor in the Department of Computer Science and Engineering at the Tandon School of Engineering, and the Center for Data Science. She was previously Assistant Professor of Computer Science at Drexel University, and a postdoctoral researcher and a CIFellow at the University of Pennsylvania. After receiving her B.S. Julia went on to work for two start-ups and one real company in New York City, where she interacted with, and was puzzled by, a variety of massive datasets. Julia’s research focuses on developing novel information discovery approaches for large datasets in presence of rich semantic

Shibiao Wan

Dr. Shibiao Wan is currently an Assistant Professor in the Department of Genetics, Cell Biology and Anatomy, and the Co-Director for the Bioinformatics and Systems Biology (BISB) PhD Program at University of Nebraska Medical Center (UNMC). He is also an Assistant Professor (courtesy) in the Department of Biostatistics at UNMC.

With more than 14 years of experience in machine learning, bioinformatics, and computational biology, Dr. Wan has published >50 articles in top-tiered journals such as Genome Research, Nature Communications, Science Advances, Circulation Research, Briefings in Bioinformatics, and Bioinformatics. Dr. Wan is the Editor-in-Chief for Current Proteomics, and an Editorial Board Member for a series of prestigious journals such as Briefings in Functional Genomics, Heliyon, BMC Bioinformatics, International Journal of Microbiology, PeerJ Computer Science, BioMed Research International, and Computational and Mathematical Methods, and a guest associate editor for multiple high-impact journals including Frontiers in Immunology, Frontiers in Cell and Developmental Biology, Frontiers in Pharmacology, Biology, Frontiers in Genetics, and Genes.

Dr Wan is a TPC member for >20 machine learning related international conferences including IEEE ICTAI. Dr. Wan is also a reviewer for >50 prestigious journals including Nature Methods, Nature Communications, Nature Computational Science, Nucleic Acids Research, Cancer Research, Genome Medicine, and Briefings in Bioinformatics. Dr. Wan has received a number of accolades including the New Investigator Award in 2024 by UNMC, the FIRST Award in 2023 by Nebraska EPSCoR, the Outstanding Young Alumni Award in 2022 by HK PolyU as well as the 2025 Springer Nature Editor of Distinction Award by Springer Nature, and the Global Peer Review Awards (top 1%) in “Cross-Field” and “Biology and Biochemistry” in 2019 awarded by Clarivate. Dr. Wan is a member of AACR, ISCB and ACM and an IEEE Senior Member.

Fusheng Wang

I am a Professor at Department of Biomedical Informatics and Department of Computer Science at Stony Brook University. I received my Ph.D. in Computer Science from University of California, Los Angeles, and M.S. and B.S. in Engineering Physics from Tsinghua University, China. Prior to joining Stony Brook University, I was an assistant professor at Emory University. I was a research scientist at Siemens Corporate Research (Princeton, NJ) before joining Emory University.

My research goal on big data management and analytics is to address the research challenges for delivering effective, scalable and high performance software systems for managing, querying and mining complex big data at multiple dimensions, including 2D and 3D spatial and imaging data, temporal data, spatial-temporal data, and sequencing data. My research goal on biomedical informatics is to develop novel methods and software systems to optimize the acquisition, extraction, management, and mining of biomedical data with much improved efficiency, interoperability, accuracy, and usability to support biomedical research and the healthcare enterprise.