I like challenges and working in teams where people contribute to each other growth towards a big goal. If this "big goal" at the end will help people even indirectly, it is even better!I am a Postdoctoral Fellow at the University of Calgary where I work with Bayesian networks. My background is in medical imaging (mammography and digital breast tomosynthesis), machine learning and computer vision.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.