Silas Brack
I'm an AI Research Engineer at Teton. We are building the next generation of healthcare technology using computer vision and deep learning to help nurses and patients in hospitals and nursery homes. We work at the forefront of research in 3D reconstruction, human mesh recovery, action recognition, and visual-language models.
Previously, I worked for over four years at Saxo Bank as a ML Engineer in the Predictive Modelling and AI team under Jeppe Reitz and Nicolas Palm Remy-Perez. In my time at Saxo, I worked on various client-facing NLP, representation learning, recommender, and traditional machine learning models.
I did my master's in Mathematical Modelling and Computation at the Technical University of Denmark. During my thesis, “Effortless Bayesian Deep Learning: Tapping Into the Potential of Modern Optimizers” I worked on implicit matrix algorithms for performing the Laplace approximation in Søren Hauberg's group in the section for Cognitive Systems of DTU Compute. We also worked on applying the Laplace approximation to metric learning, which we published at NeurIPS. “Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval,” in Advances in Neural Information Processing Systems, 2023.
Academically, I'm interested in machine learning and statistics, from deep learning to network science to Bayesian inference to forecasting. I love applied math and writing code, so I try to do as much of those as possible. I'm also interested in the intersection of science and society, and science communication is quite important to me. I spend a lot of time trying to learn more about how to effectively communicate ideas and generally just enjoy teaching.
In my spare time, I try to learn more about fields I'm less well-versed in. Right now, that means economics, philosophy, paleontology, and history. I try to make the most of life by learning and teaching, going on walks in nature, appreciating beauty wherever I can, and by (mostly) doing things I enjoy. Because of this, I try to spend my time coding, reading, watching films and series, and listening to music. I also really like to cook.