Biomedical Imaging Group
École polytechnique fédérale de Lausanne
EPFL STI IMT LIB
22 June 2013: Our papers "Consistent Discretization of Linear Inverse Problems using Sparse Stochastic Processes" and "Sparse Image Deconvolution with Message Passing" will be presented at SPARS 2013 on July 8 and 11, respectively.
26 May 2013: Unfortunately, I won't be able to attend ICASSP 2013 due to delays in issuance of the Canadian visa.
I am a PhD student in Biomedical Imaging Group (BIG) at EPFL. My supervisor is Prof. Michael Unser. I am working on development of models and algorithms for solving inverse problems.
Currently, I am visiting Information Systems Laboratory (ISL) at Stanford University, where my supervisor is Prof. Andrea Montanari. I am working on statistical inference on random graphs.
Before starting my PhD, I was a visiting student with the Research Lab of Electronics at MIT. I received my MSc and BSc degrees in 2011 and 2008, respectively, from the communication systems department of EPFL. In 2009, I worked as an intern Microsoft in the Unified Communication Group, where I worked on real-time communication platform Microsoft Lync. In 2008, I worked as a research intern in the Signal and Information processing unit of the Telecommunication Research Center in Vienna, Austria.
I develop statistical models and algorithms for the reconstruction of biomedical images from highly undersampled or distorted measurements. Such problems are common in various image acquisition modalities such as magnitic resonance imaging (MRI), bio-microscopy, astronomy, etc.
I am interested in the development of iterative algorithms that allow to perform inference on large dimensional data in an efficient way. In particular, message-passing algorithms on graphical models are of particularly high interest to me.
The full list of my publications is available on the right.