I conduct inter-disciplinary research using my background in Systems Biology to tackle various problems from stem cells research.
My group closely collaborates with experimental labs for developing computational models, which can help answer questions from: commitment of T-cell progenitors, reprogramming of somatic cells to iPS cells or directly to neurones.
We also develop new modelling frameworks, which can be employed by various biology applications.
I am the father of two boys. Through the years I developed a keen interest in renovating houses. My family and I are living in our second house that we completely renovated (I have some hands on skills but not in a wet lab - prefer theoretical work). I ride a big motorbike (Honda Valkyrie). Our pets are two french bulldogs (Linda and Bimka), 6 hens and a roster, an obstacle jumping horse (Orion), it is safe to say that we really embraced the countryside lifestyle.
Elucidate mechanisms controlling hematopoietic stem cells differentiation into T lymphocytes
2005 - 2010
Ph.D. University of Sheffield
Thesis: Nonlinear modeling of complex systems for systems biology
I conducted modelling of human embryonic stem cells states evolution
Identify the factors acting as barriers for reprogramming of fibroblast cells into induced pluripotent stem cells
Uncover the dynamics within the core gene regulatory network for direct reprogramming of human adult fibroblast into neuron
2009 - 2013
Postdoc Lund University
Models for gene regulatory networks governing embryonic stem cell commitment and reprogramming along with hematopoietic stem cell lineage choice.
2013 - 2015
Postdoc University of Copenhagen, Niels Bohr Institute
Models for gene circuits regulating stem cells primitive endoderm and epiblast commitment and cell reprogramming.
Develop multi-scale computational models including multiple levels of regulation to:
Understand the factors dynamics governing maintenance of pluripotent and ground state of human and mouse embryonic stem cells along with their commitment to neuronal fate.