About
I’m an AI systems researcher who is a PhD candidate in the Large-Scale Data & Systems (LSDS) group at Imperial College London, where I have been working under the supervision of Professor Peter Pietzuch since 2021. My research focuses on Machine Learning Systems (MLSys), with a primary interest in large-scale distributed machine learning training and inference. My early work explored the impact of resource changes on deep learning training systems (Tenplex), while my current research targets high-performance systems for LLM workflows.
Additionally, I collaborate with my second advisor, Professor Mark van der Wilk, on Gaussian Processes (GP). Our research aims to improve benchmarking of GP approximations for comparability and enhance the performance of GP inference.
Prior to joining the LSDS group, I completed both my Bachelor of Science and Master of Science in Informatics at the Technical University of Munich.