Adriana Pitea

Shared PhD position between the Institute of Computational Biology and The Cytogenetics Radiation Department.

Performing efficient, rigorous omics data analysis; importing and quality filtering of microarray, implement and develop computational approaches for microarray analysis and data integration, workflows, tools and algorithms for array CGH analysis - Correlation analysis with clinical data-functional interpretation of results using enrichment approaches such as pathway analysis or GO enrichment analysis - Visualisation and documentation of data and results for presentations, publications and reports

At first, I was responsible for content monitoring and filter content processing. Currently I respond for diagnosing problems on the website, contributing to finding viable solution for efficient site use monitoring and website support and finding patterns for possible bugs in the software.

While working as an intern for CIT Automation, I had to work on my own project that meant changing the manual activation system to an automatic system for a punching machine in a factory. I had to think of the whole project: the algorithm, the optimization of the code for fault alarms, the design of the control panel. The result obtained was the optimal configuration of the PLC for running a sequential control process for the punching machine.

Biological Sequence Analysis, Bioinformatics of High Throughput Analysis, Molecular Biology and Genetics, Phylogenetics and Comparative Genomics

Advanced techniques and algorithms proposed for solving diverse problems in the Automatic Control Field: Robust Control Theory, Advanced Optimization Algorythms.

Automatic Control Theory, Optimization Techniques, Biological Processes Simulation, Object Oriented Programming, Bioinformatics