About me

👋 My name is Stefanos Laskaridis and I am a ML Research Scientist. My focus is on Machine Learning and Distributed Systems, with a special interest on efficiency and privacy. I also go by “Steve” for short or “Στέφανος” in Greek.

Currently, I am an applied scientist at Amazon Science, focusing on LLM research for the new Alexa+, with a particular passion for efficiency. Prior to that, I was a ML Researcher at Brave and visiting researcher in the University of Cambridge focusing on the area of privacy-preserving ML, efficient on-device and distributed ML as well as Federated Learning. Before that, I used to be a research scientist at Samsung AI Center in Cambridge, UK, working in the areas of distributed, collaborative and efficient on-device ML. Previously, I did my MPhil in the University of Cambridge and prior to that I was a Software Engineer for the Storage Group (IT-ST-TAB) at CERN, in Geneva, Switzerland.

My research interests, by and large, revolve around the areas of distributed systems, efficient machine learning and mobile systems. Thus, my research tends to span across these topics, ranging from efficient models for mobile deployment (such as dynamic early-exit networks) to inference offloading and from on-device ML to Federated Learning. The past years, I have been conducting research on LLMs, with special focus on efficiency at training and deployment.

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 ☕️ …