Academic Editors
The following people constitute the Editorial Board of Academic Editors for PeerJ Computer Science. These active academics are the Editors who seek peer reviewers, evaluate their responses, and make editorial decisions on each submission to the journal. Learn more about becoming an Editor.
Andrea Brunello
I am an Assistant Professor (tenure-track) at the Department of Humanities and Cultural Heritage (DIUM) of the University of Udine. In addition, I am part of the Data Science and Automatic Verification Laboratory, at the Department of Mathematics, Computer Science and Physics (DMIF) at the same University. As a figure straddling the two departments, I am part of the board of directors of the AI4CH Initiative, and I am interested in both practical aspects of Artificial Intelligence and philosophical issues. I am and have been a core member of several national and international projects with both institutional and corporate partners, such as u-blox, SAL Silicon Austria Labs, GAP srlu, and beanTech.
Wasif Afzal
Professor in Computer Science at Mälardalen University, Sweden, specialising in research areas such as software testing, software quality, software metrics and empirical software engineering in general.
Ahmed E Hassan
Ahmed E. Hassan is the Canada Research Chair (CRC) in Software Analytics, and the NSERC/BlackBerry Industrial Research Chair in Software Engineering for Ultra Large Scale systems at the School of Computing in Queen's University.
He spearheaded the organization and creation of the Mining Software Repositories (MSR) conference and its research community. He is the named inventor of patents at several jurisdictions around the world including the United States, Europe, India, Canada, and Japan.
Marcin Maciej Grynberg
Assistant Professor in The Institute of Biochemistry and Biophysics Polish Academy of Sciences, Warsaw, Poland. Graduate from The University of Warsaw. Former post-doc at The Burnham Institute, La Jolla, CA. Co-founder of the social scientist movement Citizens of Academia.
Feng Gu
Feng Gu is currently an associate professor of computer science at College of Staten Island, The City University of New York, and the doctoral faculty member of Graduate Center of The City University of New York. He is the recipient of Natural Science Foundation Research Initiation Award. His research interests include modeling and simulation, complex systems, high performance computing, and bioinformatics.
Jiayan Zhou
Jiayan Zhou is a Senior Computational Bioinformatician at Palo Alto Veterans Institute for Research (PAVIR). He was a postdoctoral scholar at Stanford University School of Medicine, specializing in Cardiovascular Medicine, Population Genetics, and Molecular Biology. He is a computational geneticist with a special interest in advancing statistical methodologies and software frameworks tailored for integrating multi-omics data, aimed at elucidating novel therapeutic avenues for various human diseases. He also actively explores the intersection of AI and healthcare, leveraging AI models to address intricate challenges in healthcare delivery and patient outcomes.
Marisa Fabiana Nicolás
Dr. Marisa Fabiana Nicolás is a biologist with a Ph.D. in Genetics. She worked as a protein annotator in the UniProt/Swiss-Prot database from 2005 to 2007. Since May 2009 she is an Associate Researcher at the Bioinformatics Laboratory (Labinfo) at LNCC/MCTI Brazil. Dr. Nicolas has experience in Genetics, Molecular Biology, Genomics, and Bioinformatics. She works mainly in Bioinformatics applied to the analysis of genomes and transcriptomes (RNAseq and scRNAseq) and metabolic and regulatory networks in clinically relevant pathogens.
Ana Reyes-Menendez
PhD Cum-Laude and Extraordinary Award in Business Economics from Rey Juan Carlos University specialized in Neuromarketing and Digital Marketing. Post-doctoral Research stays in Universidade Portucalense, Universidade do Algarve and RCC at Harvard University.
Assistant Professor of the Department of Business at Rey Juan Carlos University. Research focused on Online Consumer Behavior, Information Science, Data Science for Business and Biometrics.
Nicolas P Rougier
I’m a full-time research scientist at Inria. This is a public scientific and technological establishment (EPST) under the double supervision of the Research & Education Ministry, and the Ministry of Economy Finance and Industry. I’m working at the frontier between integrative and computational neuroscience in association with the Institute of Neurodegenerative Diseases, the Laboratoire Bordelais de Recherche en Informatique, the University of Bordeaux and the CNRS. My research deals with decision-making, self-organization, spatial computing, artificial neural networks & open science.
Filippo Menczer
Filippo Menczer is a distinguished professor of informatics and computer science and director of the Observatory on Social Media at Indiana University. He holds a Laurea in Physics from the Sapienza University of Rome and a Ph.D. in Computer Science and Cognitive Science from the University of California, San Diego. Dr. Menczer is an ACM Fellow and a board member of the IU Network Science Institute. His research interests span Web and data science, computational social science, science of science, and modeling of complex information networks. In the last ten years, his lab has led efforts to study online misinformation spread and to develop tools to detect and counter social media manipulation.
Alexander C Nwala
Dr. Alexander C. Nwala is an assistant professor of Data Science at William and Mary (W&M). Before joining W&M, he was a postdoc at the Observatory on Social Media, Indiana University, Bloomington, with a research focus on dis/misinformation diffusion, detection, and countering of online manipulation. He received his PhD in Computer Science at Old Dominion University and has contributed multiple important tools and datasets to the data/web science, social media, (local) news, and web archiving communities.
Dr. Nwala has taught Computer Science courses to High School, Undergraduate, and Graduate students and has collaborated across disciplines and institutions, including with computer scientists/journalists at IU, archivists at the National Library of Medicine, and lawyers at Harvard. And his research has been published in multiple peer-reviewed Journals and Conferences.
Helder Nakaya
Prof. Helder Nakaya is Deputy Director of School of Pharmaceutical Sciences at University of São Paulo, Brazil, Associate Professor at University of São Paulo, Brazil, and Adjunct Professor of the School of Medicine, Emory University, USA. He has a PhD in Molecular Biology with extensive training in Bioinformatics. He is an expert in Systems Vaccinology, an interdisciplinary field that combines systems-wide measurements, networks, and predictive modelling in the context of vaccines and infectious disease. Dr. Nakaya has developed systems biology approaches to understand and predict the mechanisms of vaccine induced-immunity for Yellow Fever, seasonal Influenza, Meningococcal, and Tularemia vaccines. His lab is focused on investigating the basis of infectious diseases using computational systems biology.