Hi, I’m Adam. I’m passionate about machine learning, particularly machine reasoning and generative modelling. I’m really into time-series, attention, external memory and VAEs.
- I’m a PhD Candidate at the University of Oxford, where I’m working with Ingmar Posner and Yee Whye Teh.
- I interned at DeepMind, where I worked with Danilo J. Rezende.
- I received an MSc in Computational Science & Engineering from the Technical University of Munich, where I worked on VAEs for Arm Movement Prediction with Patrick van der Smagt.
Along my studies, I worked at Bloomberg, Samsung and IBM on various machine learning projects. I am always looking for exciting research and professional opportunities, so feel free to get in touch
In my free time I read lots of books, train calithenics, lift heavy weights and hike mountains.
F. B. Fuchs, O. Groth, A. R. Kosiorek, A. Bewley, M. Wulfmeier, A. Vedaldi, I. Posner “Learning Physics with Neural Stethoscopes”, NeurIPS workshop on Modeling the Physical World: Learning, Perception, and Control, 2018.
Forge - a lightweight tool for managing ML experiments.