Dr. Gurprit Singh is currently a post doctoral research associate at Max Planck Institute for Informatics, Saarbrücken. His research is focused on analyzing the impact of different sampling patterns on Monte Carlo based rendering algorithms. His recent works include developing advanced Fourier domain tools for convergence analysis that also results in new design principles for novel futuristic samplers. He obtained his Ph.D. in 2015 from the Université de Lyon 1, France, under the supervision of Prof. Victor Ostromoukhov which was followed by a two year post-doc at Dartmouth College with Prof. Wojciech Jarosz.