Maaz Amjad

Assistant Professor at PLOS ONE

Lubbock, Texas, United States
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Summary

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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.
code9 years of coding experience
job7 years of employment as a software developer
bookMaster of Science - MS Applied Mathematics and Informatics, Master of Science - MS Applied Mathematics and Informatics at Moscow Institute of Physics and Technology
bookThe National Polytechnic Institute of Mexico
bookBachelor of Science (BS) Mathematics, Bachelor of Science (BS) Mathematics at Government College University (GCU), Lahore
languagesEnglish, Urdu, Russian, Punjabi, Spanish
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Github Skills (2)

urdu9
datasets7

Programming languages (1)

HTML

Github contributions (5)

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MaazAmjad/amaaz.github.io

Dec 2017 - Apr 2020

Contributions:97 pushes, 1 branch in 2 years 4 months
Datasets for Urdu news
Contributions:26 commits, 25 pushes, 1 branch in 1 year 5 months
datasetsnewsdataseturdu
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