Mohammad Malekzadeh is a Senior Research Scientist in the Device Research department at Nokia Bell Labs in Cambridge, UK. He leads the Device Intelligence team, focusing on Machine Learning solutions for personal devices, with an emphasis on efficiency, collaboration, adaptability, and privacy. Before joining Bell Labs, He worked as a Postdoctoral Research Associate at Imperial College London's Information Processing and Communications Lab, closely collaborating with Prof. Deniz Gunduz on Privacy-Preserving and Trustworthy Machine Learning. He pursued his PhD in Computer Science at Queen Mary University of London as a member of the Centre for Intelligent Sensing, concurrently holding a Research Assistant position at Imperial College London contributing to the Databox Project in the Systems and Algorithms Laboratory. In his PhD, he had the chance to work with great advisors, Prof. Hamed Haddadi, Dr. Richard G. Clegg, and Prof. Andrea Cavallaro, on developing Machine Learning Algorithms for Privacy-Preserving Personal Data Analytics, particularly for data captured by mobile and wearable devices. During his PhD journey, he interned at Brave Software Research, where he explored privacy-preserving techniques to improve content personalization in web browsers. Prior to PhD, he earned an MSc degree in Computer Engineering from Sharif University of Technology in Iran.