About me

👋 My name is Stefanos Laskaridis and I am a Machine Learning Research Scientist specializing in Machine Learning (ML), Distributed & Mobile Systems, and Efficient ML algorithms. My research interest revolve around the areas of dynamic network architectures, federated/collaborative learning, on-device AI as well resource and energy-efficient deep learning.

Currently, I am an Applied Scientist at Amazon Science, where I focus on Large Language Models (LLMs) for Alexa+, particularly in the areas of self-learning and speculative decoding for efficient inference.

Previously, I worked as a Machine Learning Researcher at Brave Software and as a Visiting Researcher at the University of Cambridge, where I focused on on-device GenAI, privacy-preserving machine learning as well as modular LLM architectures.

Before that, I spent 4.5 years as a research scientist at Samsung AI Center in Cambridge, UK, working in the areas of distributed, collaborative and efficient edge AI. I graduated from the University of Cambridge and, prior to that, I worked at CERN, in Geneva, contributing to large-scale distributed storage systems.

In my free time, I love travelling, motorsport and photography. I am also passionate about the topics of open-source, AGI and privacy and like partaking in hackathons from time to time. Oh, I also like coffee ☕️ …