Michalina Pacholska

Audiovisual Communications Laboratory (LCAV)
School of Computer and Communication Sciences (IC)
Ecole Polytechnique Fédérale de Lausanne (EPFL)

Office: BC 324
Station 14
CH-1015 Lausanne
Phone: (+41) 21 693 1276
E-mail: michalina.pacholska@epfl.ch


I’m quite bad at following a simple path. I studied inter-faculty math and science studies (mostly mathematics, some physics with just a pinch of chemistry and biology) at University of Warsaw. In 2016 I finished Masters with specialisation in topology and set theory. My master thesis was in (mathematical) signal processing, even though at that time I was attending computational biology seminar. Then I have done an internship at Google Mountain View where I worked on c++ data processing pipeline. Came back to Europe to do PhD in computer science at EPFL. Tried physically based rendering only to go back to signal processing at LCAV. Signal processing led to Fourier optics and playing with lasers, but as cool it sounds, I wandered off towards the localisation, and now I pursue two projects simultaneously. But not all the time, I had a break last year, I went to DeepMind to fold some proteins.

For more facts see my CV.

If I have free time, I draw cows for Helvetic Coding Contest and play cooperative board games.


G. Elhami; M. W. Pacholska; B. Bejar Haro; M. Vetterli; A. J. Scholefield : Sampling at unknown locations: Uniqueness and reconstruction under constraints; IEEE Transactions on Signal Processing. 2018-11-15. DOI : 10.1109/TSP.2018.2872019.
M. W. Pacholska; B. Bejar Haro; A. J. Scholefield; M. Vetterli : Sampling at unknown locations, with an application in surface retrieval. 2017. Sampling Theory and Applications, 12th International Conference, Tallinn, Estonia, July 3 – 7, 2017,. p. 364-368. DOI : 10.1109/SAMPTA.2017.8024451.