Previously, I completed my Masters in Data Science at ETH Zurich and gained industry experience working as a data scientist and quantitative engineer.
My main current research goal is to build ML systems that can reason about uncertainty in real time. Other interests include, but are not limited to, probabilistic ML, (scalable) Bayesian inference, and generative modelling.
- NeurIPSTowards Anytime Classification in Early-Exit Architectures by Enforcing Conditional MonotonicityAdvances in Neural Information Processing Systems (NeurIPS) 2023
- AISTATSScalable gaussian process variational autoencodersInternational Conference on Artificial Intelligence and Statistics (AISTATS) 2021