Applications and development of stochastic inference methods
Team: Pierre Ronceray (CPT)
December 2021 - present | CENTURI PhD student
2016 - 2021 | PhD. Physical Chemistry, Institute of Physical Chemistry, Polish Academy of Sciences
2013 - 2015 | MSc. Physics, University of Stuttgart
2009 - 2013 | BSc in Physics / Applied Physics, Hong Kong Baptist University
About her Postdoc project
Experimental data of living matters are often highly fluctuating. These seemingly random processes 'hide' important information of the physics governing the living matter, such as force and diffusion fields.
To extract physical information from these data is not an easy task. Recently, a novel method -- stochastic force inference (SFI) has been developed (Frishman and Ronceray, Phys. Rev. X (2020)). This method provides a systematic way of extracting force fields from stochastic trajectories and provides a self-consistent measure for reliability.
Building on this method, we would like to extend it to tackle another difficulty, that is, when the source data consists of short trajectories, such as data from single-molecule microscopy.