Many years of academic and industrial research and development in computer science, data analytics and computational biology (> 100 research publications, > 23000 citations). Cross-cutting knowledge of the academic, technical and managerial fields. Leading research-oriented software development teams focused on high-throughput bio-medical data (including NGS) analysis with AWS cloud or computer clusters. Developing and applying AI, machine learning approaches for public and private data analysis resulted in patients stratification, cancer diagnostic biomarkers identification and automatic drug targets and drug candidates discovery. Developing new algorithms to improve quality of read sequences generated by new microfluidic chip-based sequencing technology.
Led the development of dozen widely used bioinformatics applications. For example, Fgenesh program has been used/cited in ~ 3200 scientific publications. Just in 2016 -2017 our software applications have been used in more then 4000 research publications (according to Google Scholar).
Developed and taught undergraduate and postgraduate Bioinformatics, Computational Biology, Software Engineering, Neural Networks, Biomedical informatics courses.
Developed several software applications in cryptography and information security field.