Dr. Sofia Startceva
work 57 240
Sofia joined the SOS lab in July 2020, after completing PhD in Biomedical Sciences and Engineering at Tampere University. The PhD study involved using E. coil microscopy data along with statistics and stochastic modelling in order to deepen the understanding of transcription initiation dynamics in bacteria at single-cell, single-gene level.
Currently, Sofia is pursuing large-scale gene network inference while still accounting for temporal dynamics and mechanistic constrains of gene regulatory processes. Two major aspects of this research are inference of temporal ordering from data that has no temporal dimension and probabilistic inference of the network dynamics from the obtained time series data.
Since April 2021, this work is supported by an individual fellowship from Marie Skłodowska-Curie Actions.
Student Projects available at the moment:
– Effects of asymmetry in gene expression noise on functionality of small gene networks
– Knowledge graphs for parameter optimisation in large-scale mechanistic models
More student projects offered at BCS can be found here: