# Some of my slides

1. Consistency of semi-supervised learning algorithms on graphs, CRM Workshop on Inverse Problems in Machine Learning, Montreal, QC, Canada, 2019.
2. Well-posed Bayesian Inverse Problems: Priors with Exponential Tails, SIAM CSE, Pittsburgh, PA, USA, 2017 (Student paper prize talk).
3. Bayesian estimation of acoustic aberrations in high intensity focused ultrasound treatment , CAIMS annual meeting, Edmonton, AB, Canada, 2016.
4. Estimating fugitive emissions of airborne particulate matter using a Gaussian plume model, AMMCS-CAIMS congress, Waterloo, ON, Canada, 2015.
5. Regularizations of the Dirac delta distribution, AMMCS-CAIMS congress, Waterloo, ON, Canada, 2015.