Thanh (Tim) Thieu is a researcher and a life-long investigator of computation. He has interest in how computational processes model and simulate real-world events. He has been dedicating his work on computational linguistics (natural language understanding + natural language generation) and computational intelligence.
He holds a M.S. and a Ph.D. in Computer Science from the University of Missouri-Columbia. In graduate school, his linguistic research resulted in a high throughput text mining system that extracts host-pathogen protein-protein interactions from biomedical literature, and his machine learning work was on compositional and evolutionary learning. A community web portal has been built to host interactions extracted from the entire PubMed database using his methods.
As a Postdoctoral Fellow at the National Institutes of Health, he modeled and built systems that extract functioning terminology and relations from physical therapy notes at the Clinical Center. The work is being transferred to the Social Security Administration to improve processing time for social benefit applicants. In addition, he worked on evolutionary rule induction and unsupervised analysis of bio-spycho-socio responses of patients. Joining ACTNext, he is excited about content generation and its interaction with the psychology of learners and test takers