I am a Researcher in the Adaptive Systems and Interaction group at MSR AI. My research work lies in the intersection of human and machine intelligence. I am interested in developing models and tools that enable efficient human-machine collaboration for improving current intelligent systems and enhancing human capabilities while solving complex tasks. My current projects focus on the problem of troubleshooting complex machine learning systems for helping system designers to better understand and debug their systems. In the same vein, I am also involved in various research initiatives and projects that study the societal impact of artificial intelligence as well as various quality-of-service aspects of AI including interpretability, transparency, accountability, and fairness.
Prior to joining MSR AI, in 2016 I completed my PhD degree at ETH Zurich (Switzerland) in the Systems Group, supervised by Prof. Donald Kossmann and Prof. Andreas Krause. My doctoral thesis focuses on integrating crowdsourcing in the process of building machine learning algorithms and systems. It studies how human supervision can be efficiently leveraged for generating training label data for new machine learning models and algorithms. At the same time, it explores the impact of human intervention for assisting machine learning experts in troubleshooting and improving existing integrative systems composed of multiple machine learning components.
In 2011, I completed my master studies in computer science in a double-degree MSc program at RWTH University of Aachen (Germany) and University of Trento (Italy) as an Erasmus Mundus scholar. I also have a Diploma in Informatics from University of Tirana (Albania) from where I graduated in 2007.