Maaz Amjad is an Assistant Professor at Texas Tech University with nine years of experience applying machine and deep learning to NLP and health informatics, backed by a PhD in Computer Science. His work spans academia and industry—from postdoctoral research and a Provost Early Career Fellowship at UT Austin to applied roles building data pipelines and predictive models for retail and social media. He has contributed to interdisciplinary projects addressing misinformation, hate speech, and natural hazard prediction using multi-class multi-label models, and serves on the PLOS ONE editorial board. Comfortable moving models from research to real-world systems, he blends rigorous mathematical training with hands-on engineering skills learned at institutions like MIPT and industry labs in Europe and Brazil.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS Applied Mathematics and Informatics, Master of Science - MS Applied Mathematics and Informatics at Moscow Institute of Physics and Technology
The National Polytechnic Institute of Mexico
Bachelor of Science (BS) Mathematics, Bachelor of Science (BS) Mathematics at Government College University (GCU), Lahore
Contributions:26 commits, 25 pushes, 1 branch in 1 year 5 months
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