Summary
Hassan Sajjad is an Associate Professor and researcher specializing in trustworthy and interpretable AI for NLP, with nine years of experience spanning academia, industry labs, and entrepreneurship. He directs the HyperMatrix Lab, focusing on generative models, explainable AI, ethics, and generalization, and previously led machine translation efforts at QCRI where his team released tools like NeuroX and a public Machine Translation API. Trained with a PhD in Computational Linguistics from Universität Stuttgart and BS/MS work in NLP, he blends deep technical expertise in neural and statistical MT, domain adaptation, and low-resource language processing with practical systems-building. He has a track record of moving research into usable artifacts and products—evident from both his academic releases and an earlier ad-tech startup—and enjoys exploring market niches and bringing people together to turn ideas into impact. Based in Halifax, Canada, he combines rigorous research with entrepreneurial instincts, prioritizing fairness and transparency in AI systems.
9 years of coding experience
14 years of employment as a software developer
Doctorate, Computational Linguistics, Doctorate, Computational Linguistics at Universität Stuttgart
BS & MS, Computer Science, NLP, BS & MS, Computer Science, NLP at National University of Computer and Emerging Sciences
English, urdu (native), Hindi, german (intermediate), arabic (basic)