I am a Postdoctoral Fellow at the University of Calgary where I work with Bayesian networks. At SAIT I'm teaching courses related to Computer Science.

My background is in medical imaging (mammography and digital breast tomosynthesis), machine learning and computer vision. My work with mammography aimed to detect "architectural distortion of the breast", a very sublet sign of what could become breast cancer. I also worked with denoising filters (BM3D, NLM, Wavelet based) to remove spared noise when the mammography is acquired with a low radiation dose.