Agustinus Kristiadi is a postdoctoral fellow at the Vector Institute, working primarily with Alán Aspuru-Guzik and Pascal Poupart. He obtained his Ph.D. from the University of Tuebingen in Germany, advised by Philipp Hennig and Matthias Hein. His research interests are in probabilistic deep learning methods for uncertainty quantification, their Riemannian-geometric aspects, and their applications in broader science such as chemistry. His contributions to the scientific society include mentoring underrepresented students in Canada under the IBET Ph.D. Project and co-developing the Laplace-Torch open source library, democratizing Bayesian neural networks to more general audiences.