- About BIORISE
Dr Marios Tomazou is a postdoctoral research fellow in the Bioinformatics Group at The Cyprus Institute of Neurology and Genetics (CING). He received his bachelor degree (BSc) in biology from the National and Kapodistrian University of Athens following post graduate studies in the field of Systems and Synthetic biology. During his MRes and PhD at Imperial College London he worked on engineering synthetic light-responsive genetic systems in bacteria by employing mathematical modelling and experimental implementation of the relevant synthetic genetic systems using molecular biology methods. Upon completion of his post graduate studies he has worked as a research associate in the Control Biology Group at the Center of Synthetic Biology at Imperial College London. His research during this period was focused on analysing and re-engineering the dynamics of synthetic genetic expression systems by using control theory principles and systems approaches for deriving, reducing and analyzing Mass-Action mechanistic ODE models of microbial genetic systems. His work involved extensive deterministic and stochastic numerical simulations along with sensitivity analysis and parameter fitting approaches. He has recently proposed ways of engineering genetic oscillators with orthogonally tunable period and amplitude. He is the co-author of an EPSRC grant (0.5 m, EP/P009352/1) which focuses on protease-mediated recycling of shared cellular resources for alleviating burden in microbes.
In 2018, obtained a position at Stremble Ventures LTD. for applying analytics and machine learning approaches in big datasets pertaining to health related data including metagenomics and other NGS data. From May 2019 Marios has joined the Biorise ERA Chair in Bioinformatics group at CING. In his position he is currently working on applying systems bioinformatics approaches to integrate multiomics data analytics, mathematical modelling and network based approaches for gaining mechanistic understanding and actionable insights in various pathological conditions.