Summary
Asad Sayeed is a computational linguist and professor at the University of Gothenburg with 11 years of experience bridging computer science and theoretical linguistics. His work spans information retrieval, sentiment analysis, formal grammar, and minimalist syntax, with current research focused on computational psycholinguistics and distributional semantics. He combines rigorous machine-learning and IR techniques with deep knowledge of syntactic theory, enabling models that are both language-aware and cognitively plausible. Having progressed from postdoctoral research on incremental parsing to a professorship, he brings practical experience in corpus construction, domain adaptation, and applied sentiment/opinion mining alongside strong academic publishing. Based in Gothenburg, he often frames engineering problems through linguistic insight, a perspective shaped by PhD training at the University of Maryland and earlier industry internships such as IBM Research.
11 years of coding experience
14 years of employment as a software developer
Bachelor Computer Science, Bachelor Computer Science at Carleton University
PhD Computer science linguistics computational linguistics natural language processing IR, PhD Computer science linguistics computational linguistics natural language processing IR at University of Maryland
Master Computer Science, Master Computer Science at University of Ottawa
English, French, German