Advisory Board and Editors Data Science
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.
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.
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.
Alessandro Sebastian Podda
Alessandro Sebastian Podda is an Assistant Professor (RTDa) at the Department of Mathematics and Computer Science of the University of Cagliari. He received a master's degree in Computer Science from the University of Cagliari (cum laude) in 2014, and a PhD in Mathematics and Computer Science in 2018. He has been visiting scientist at the Laboratory of Cryptography and Industrial Mathematics of the University of Trento since 2017. In 2021, he was formally commissioned to a six month collaboration with the Ispra Joint Research Center (JRC) of the European Commission under the research tender ref. JRC/IPR/2020/VLVP/2916.
Currently, Alessandro Sebastian Podda is Research Unit Coordinator (AI for eHealth and Smart Cities) at the Artificial Intelligence and Big Data Laboratory and member of the Blockchain Laboratory. He has been also the Work Package Lead of the Doutdes and Sardcoin projects and participates/d in several research projects including AlmostAnOracle, Nomad, Safespotter, Social Glue and Mister.
To date, he has been the co-author of 15 articles in international journals in the field of computer science, 13 conference and workshop proceedings, and 1 book chapter, for which he has over 530 citations on Google Scholar and over 390 on Scopus, as well as a speaker (eg. LOD 2022, ICCSA 2021, PerAwareCity 2021, MaDaIN 2020, FACS 2015, etc.), co-chair (AISC 2021/2022) and program committee member at numerous international scientific events (eg. HT2022, LOD 2021, IEEE HPCC 2022, IEEE CPS-COM 2021, etc.).
Joram M Posma
Lecturer in Cancer Informatics at Imperial College London and Fellow at Health Data Research (HDR) UK. Fellow of the Higher Education Academy (FHEA) and Member of the Royal Society of Chemistry (MRSC).
Kai Qin
Kai Qin received the Ph.D. degree from the Nanyang Technological University (Singapore) in 2007. After that, he worked at the University of Waterloo (Canada) and then INRIA (France) from 2007 to 2012. He joined the RMIT University (Australia) in 2012, first as a Vice-Chancellor’s research fellow and then promoted to a lecturer. His major research interests include evolutionary computation, machine learning, computer vision, GPU computing and service computing. He is an IEEE senior member.
Michela Quadrini
Current research is focused on Artificial Intelligence, Bioinformatics, Formal methods and Languages for the modelling, analysis and verification of Distributed Systems.
Aaron R Quinlan
Aaron Quinlan, Ph.D., is an Associate Professor in the Departments of Human Genetics and Biomedical Informatics at the University of Utah. He obtained his bachelor’s degree from the College of William and Mary and his Ph.D. from Boston College where he focused on population genetics, new methods for emerging DNA sequencing technologies, and the discovery and characterization of genetic variation. He performed a postdoctoral fellowship at the University of Virginia where he developed expertise in structural variation of mammalian genomes and somatic genome mutation. He started his laboratory at the University of Virginia in 2011 and began his faculty position at the University of Utah in early 2015. Broadly speaking, his research is focused on the development and application of new computational and statistical techniques for understanding the biology of the genome. His team tackles problems with practical importance to understanding genome variation, chromosome evolution and mining genetic variation related to human disease. Understanding the genome is a hard problem: we try to develop new approaches to gain insight into genome evolution in the context of disease.
Sven Rahmann
Prof. Sven Rahmann is professor of Algorithmic Bioinformatics at the Center for Bioinformatics, Saarland University, Saarbrücken, Germany. Previously, Sven was UA Ruhr Professor of Computational Biology and Genome Informatics at the Faculty of Medicine at Duisburg-Essen University (2011-2021), associate professor for Bioinformatics for High-Throughput Technologies at the Chair of Algorithm Engineering, Computer Science Department, TU Dortmund (2007-2011). Sven wrote his doctoral thesis on oligonucleotide design for microarrays in the Computational Molecular Biology group at the Max Planck Institute for Molecular Genetics in Berlin.
Maria Valeria Raimondi
Prof. Dr. Maria Valeria Raimondi, PhD is Assistant Professor in Medicinal Chemistry, University of Palermo, Italy.
In 2018 and 2020, Dr. Raimondi's was a visiting Scientist in Medicinal Chemistry at the University of Vienna and the University of Hamburg respectively. Prior to this Dr. Raimondi was Assistant Professor in Medicinal Chemistry at the University of Palermo
Her scientific interests include:
-Synthesis and antimicrobial evaluation of new compounds with phenoxyacetamidic and iodobenzamidic structure
-Synthesis and antiproliferative activity of new derivatives with triazenic, tetrazepinonic and indazolocarboxyamidic structure
-Design and synthesis of new derivatives with a 4-quinazolinone structure, potential inhibitors of folate receptors
-Synthesis of new pyrrole derivatives related to pyrrolomycin inhibitors of Sortase A
-Synthesis of pyrazole and indazole derivatives, potential inhibitors of CDK1
-Identification of new sigma receptor ligands. Design and synthesis of a beta-aminoketones drug discovery library
-Microwave-assisted organic synthesis (MAOS) of compounds with potential antitumor activity
-Synthesis of polycyclic structures with marked antitumor activity in vitro
-Qualitative and quantitative analysis of industrial hydrocolls from the citrus industries
http://orcid.org/0000-0003-3143-738X
Scopus Author ID: 7006063479
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).