I am a PhD student at the Royal Institute of Technology (KTH) in Stockholm, Sweden. My doctoral studies began in September 2018 at the division of Robotics, Perception and Learning, under the supervision of Prof. Hossein Azizpour.

My research focuses on the explainability of deep learning, improving our understanding of modern learning systems from their internal representations to the way they determine a prediction.
The long-term ambition is to be able to approach AI agents as peers, to whom we’d be able to ask questions and observe the reasoning process. This, in turn, would allow developers to easily debug issues and biases, and the general public to trust AI more in their everyday life.

As part of my PhD experience, I volunteer as sysadmin of our in-house compute cluster. In a team of three, we helped procure servers with 70+ GPUs and actively manage a SLURM cluster for 100+ users.

Also, I supervise students in their master’s theses and work as teacher assistant for the following courses:

• DD2412 Deep Learning Advanced
• DD2424 Deep Learning in Data Science
• DD2380 Artificial Intelligence
• DD2423 Image Analysis and Computer Vision

Beforehand, I studied a master’s in Machine Learning at KTH, during which I interned at a foodtech startup in Kuala Lumpur, Malaysia, and joined the Zalando Research team for my thesis in Berlin, Germany.