Atte Aalto


Postadresse 
Université du Luxembourg 2, Avenue de l'Université L4365 EschsurAlzette 

Postdoc in the Systems Control group (Gonçalves Lab)
Background
 December 2016: Postdoc researcher at LCSB’s Systems Control group
 20152016: Postdoc researcher at INRIA Saclay ÎledeFrance research center
 2014: Doctor of Science, Department of Mathematics and Systems Analysis, Aalto University, Finland
 2009: Master of Science, Helsinki University of Technology, Finland
My background is in applied mathematics, and the area of my doctoral thesis was mathematical systems theory. In particular, I studied the effect of temporal discretization on Kalman filtering and the effect of spatial discretization on Kalman filtering for systems governed by partial differential equations (PDEs). During my first postdoctoral appointment, I studied state and parameter estimation problems for PDE systems.
Current research
At LCSB I have been working on method development for gene regulatory network inference from short time series data with low sampling frequency. Combining techniques from machine learning, systems theory, and statistics, I have developed a method where the gene expression is assumed to follow a nonlinear (stochastic) ordinary differential equation, where the dynamics function is modelled as a Gaussian process. This results in a stochastic process model of gene expression, whose properties depend on the underlying network. Network inference is then carried out by Markov chain Monte Carlo sampling. More recently, I have shifted focus on socalled singlecell data, which consists of gene expression measurements on singlecell level. One cell can only be measured once, and so the data consists of snapshots of cell ensembles at different times. Although singlecell experiments produce data that is far richer compared to traditional batch experiments, it is not evident how such data can be used for modelling the cell dynamics.
Last updated on: Dienstag, den 22. Januar 2019
URL: https://wwwde.uni.lu/lcsb/people/atte_aalto  Datum: Montag, den 06. April 2020, 05:10 