I am a Computer Scientist with more than 15 years of international university education, some international certifications and research training, in the fields of Bioinformatics, Genomics, Healthcare Data Analytics, Artificial Intelligence, Product Data Management and Software Engineering. I have over 10 years of experience for working with some high rated universities and non-profit institutions in USA and Europe (Germany, Austria and Sweden).
My research focuses on "how can computers be well assimilated in life sciences ?", especially towards the implementation of new, user friendly, custom made, intelligent real time scientific software solutions for complex and large scale biological (e.g. Clinical, Genomics, Metabolomics, Spectral, GC-MS, NMR, LC-MS etc.) data (structured, unstructured, processed, pre-processed) analysis and experiments. So far, I have been heavily involved in the proposition and implementation of different scientific solutions with the involvement of different computational methods, bioinformatics principles, data analysis pipelines, statistical & mathematical algorithms, machine learning and data mining techniques. The most recent designed and developed scientific software solutions of mine are: MAV-seq, an interactive and robust platforms to manage sample repertoire and automate processes for the quality checking, pre-processing and analysis of Genomic; Match & Scratch Barcodes, a set of bioinformatics tools for the demultiplexing and extraction of target sequences from PacBio sequenced Amplicon Data; I-ATAC an interactive platform for ATAC-seq (Assay for Transposase Accessible Chromatin with high-throughput sequencing) data processing; Lipid-Pro, computational solution towards pharmaceutical biology for lipidome analysis; Ant-App-Database, smart phone application towards field studies on arthropod's behavior; LS-MIDA, computational solution to analyze distributed amount of isotopes in a compound by measuring intensities; Isotopo, tool towards mass isotopomers distribution analysis; DroLIGHT, real time system towards the fields of neurobiology and photobiology for synchronizing the endogenous clock of animals; Ant-App-Database, smart phone application towards field studies on arthropod's behavior; GenomeVX for the understanding of Genome-wide comparative analyses of different human populations, and MSL, towards text and image mining from published Biomedical literature.
I am currently associated with The University of Connecticut Health Center (UConn Health), as the Clinical Information System Supervisor: Lead responsible for the development and optimization of a clinical information systems, for receiving and analyzing diverse clinical, diagnostic, fiscal, administrative, genomics, big data required for the promotion of practice transformation and for reporting results to Centers for Medicare & Medicaid Services, "Practice Transformation Network Initiatives". Before joining Uconn Health, for around couple of years, I was associated with The Jackson Laboratory (JAX), Genomic Medicine, USA. JAX was founded in 1929 and it is a world class scientific, non-profit organization with 26 Nobel prizes associated/stemmed for research. My research projects at JAX were about dealing with the practical issues associated to the high throughput genomic data. I designed frameworks for the management of biological sample repertoires and the automation of the processes for the quality checking & analysis of NGS data, produced using various sequencing technologies e.g. Illumina, PacBio, Oxford Nanopore, 10xGeomics, Ion Torrent etc. I processed and analyzed diverse RNA-seq, WGS, WES, ATAC-seq, ChIP-seq and PDX data. Before joining JAX; I was associated as the Postdoc Research Associate with the University of Massachusetts, Medical School (Top ranked public university in New England, ranked among World's top 100 medical universities and leading medical schools in USA). During my time at UMASS, I worked at the NIH Project (NIH-5R01GM095476-05), which was about analyzing and building intelligent data mining system for reducing the reproducibility and improving the hybrid search mechanism from the published biomedical literature, with the use of Machine Learning, Pattern Recognition, Document Analysis and Bioimaging technologies. Moreover, during my Postdoctoral research in US, I completed Postdoc CITI Research Training for Biomedical Research Investigators and Key Personnel, Biomedical Responsible Conduct of Research and Conflict of Interest Course at the University of Miami, Miller School of Medicine, USA (ranked among top 50 institutions for NIH funding and research, and the Top ranked in Florida)
I have authored more 100 publications [only as the First/Last Author] in Informatics and Life Sciences, with well reputed publishers (including Oxford University Press, Oxford Journals, BioMed Central, Emerald, Willy, Frontiers, Faculty of 1000, IEEE, ACM, IOS Press, iConcept, Whittles, IADIA Press, INCF, NEDB, Springer etc.), in Journals, Books, Scientific Magazines, Conference and Workshop proceedings etc. I am serving as Editorial Board Member, Referee of some well reputed Journals and have been offered to be the Program Committee Member and Reviewer for some established International Conferences. I have been honored miscellaneous research awards at different occasion (including Early Career Scientist Award, Director's Award, Best Young Researcher, Best PhD Student, Best Conference Paper, Potential Conference Paper, Best Presenter, Best Editor, Memento, Grants, Funds, Distinguished Compliments and Nominations etc.). Moreover I have achieved some University Distinctions, accomplished some Programming contests victories, won some Talent Awards, obtained Top Positions in some exams and got some distinguished participation.I believe in staying at ground, continuous learning, trying improving and performing at best.