Mohammad Malekzadeh

I lead the Device Intelligence team in the Device Software Research department at Nokia Bell Labs, Cambridge, UK. We develop machine learning solutions for personal data, prioritizing multi-modality, data efficiency, individual privacy, and personalization. Our team includes leading researchers recognized for their original work in on-device machine learning, as well as inspiring PhD interns and visitors, whose fresh perspectives are always motivating.

Previously, I was a Research Associate at Imperial College London, collaborating with Prof. Deniz Gunduz on Privacy-Preserving and Trustworthy Machine Learning. I earned my PhD in Computer Science at Queen Mary University of London while concurrently holding a Research Assistant position at Imperial College London. I had the opportunity to work with Prof. Hamed Haddadi, Dr. Richard G. Clegg, and Prof. Andrea Cavallaro. My PhD research focused on developing machine learning algorithms for privacy-preserving personal data analytics, particularly for data captured by mobile and wearable devices. During my PhD, I also interned at Brave Software Research, where I explored privacy-preserving techniques to enhance content personalization.

[Job Opportunity] Our team in Nokia Bell Labs Cambridge is working on an exciting project focused on health monitoring through wearables and personal devices (see the slides of my recent talk here ). We are looking for candidates who are passionate about healthcare and machine learning research and are excited to develop innovative, practical applications. If this interests you, please send me your CV!