- Bioinformatics & Biostatistics
- Bioinformatics Environments: R, Bioconductor, and Matlab.
- Statistical & Mathematical Environments: Matlab, R, Matematica, and Scilab.
- Exome and Whole-Genome sequencing data analysis
- Microarray and RNA-Seq gene expression analysis: Preprocessing and analysis of gene expression from different technologies (Affymetrix,Illumina, Agilent, RNG-MRC two colour arrays). R packages for RNA-Seq data analysis
- Micro RNA (miRNAs) data analysis: Pre-processing and analysis of Agilent miRNAs data, joint analysis of miRNAs and mRNAs.
- Genome-wide association studies (GWAS): Preprocessing and analysis of Affymetrix and Illumina GWAS data (PLINK, R packages for GWAS analysis, visualization and annotation of SNP data).
- Systems Genetics: Network gene co-expression analysis (method: WGCNA).
- Methods: Gene-Set Enrichment Analysis (GSEA), SNP-Set Enrichment Analysis (SSEA), Pathway-based approaches.
- Life-Science Database and Standards for high-throughput genomics data: Life-sciences databases, Microarray databases, next-generation sequencing databases, and standards. Extensive experience with database design and development.
- Software: Dchip, Genomatix, BRB ArrayTools, Partek Genomics Suite, Ingenuity System, TIGR software, Affymetrix software and tools, Illumina software.
- eHealth and Digital Technologies
- Big Data & Open Data
- Cloud Computing
- Amazon web services (Amazon Elastic Compute Cloud (EC2, ROnCloud, EBI R Cloud Workbench).
- Cloudwatt and Open Stack.
- Analysis of social media
- Blockchain in health
- Mobile app development
- Biology, Genetics, and Epidemiology
- Biology: Molecular Biology, biology of human monocytes and macrophages, molecular mechanisms of atherosclerosis and myocardial infarction.
- Genetics: Human genetics, basics in mouse genetics.
- Epidemiology: Epidemiology and mathematical modeling of infectiouse diseases.
- History of Genetics : My Web page dedicated to history of genetics.
- Medicine
- Cardiology: Atherosclerotic diseases
- Radiology: Medical imaging
- Healthcare management: hospitals information systems and management of clinical data.
- Medical Informatics
- Informatics, Electronics, and Telecommunication
- Data Mining & machine learning
- Text Mining and BioNLP
- Modeling and project management
- Programming Languages
- Web development skills
- Web (HTTP) server and web development
Medical ontologies, management of medical data, information systems in healthcare, healthcare standards (HL7, DICOM, IHE).
Medical imaging: Processing and analysis of medical imaging, compression of medical images. Tools and environments: Image J, Matlab, Wavelet compression, R packages of image processing.
Advanced operating systems, software engineering, distributed systems, databases, Artificial Intelligence, OSI and TCP/IP protocols, ATM networks, mobile communications (UMTS GPRS, GSM), Wireless-networks, Ethernet networks, Intranet, Mobile IP, networks security, microprocessor architecture and electronic circuits.
Clementine, Weka, and R packages for machine learning
Natural Language Processing in Biomedicine (BioNLP)
Modeling and project management: UML modeling, Merise, MCP, PERT, and GANTT.
C, C++, R, Smalltalk, Java, J++, ADA, Visual Cafe, Visual Basic, Visual Fox Pro, Pascal, Fortran, Delphi, Ruby, Python, Perl, PLSQL, Java Script, ASP, PHP, VB script, HTML, XHTML, and XML.
Website developement,Wordpress
Apache HTTP Server, Tomcat, and Microsoft Internet Information Services (IIS) Server