Dr. Amjad uses artificial intelligence and computational linguistics to identify trends and creating solutions for socially compressing problems, such as overdose and reporting prevention efforts.
During his doctoral studies, Dr. Amjad utilized artificial intelligence and computational linguistics to build scalable and effective models to address social problems, such as identifying linguistic patterns to spot fake news and misinformation in the digital media text. After finding misinformation in health texts, Dr. Amjad found an interest in clinical text processing, in which he began building machine learning models related to data on overdoses and medical care.
At UT Austin, Dr. Amjad is a part of “Project Connect”, which aims to improve overdose reporting and prevention efforts by using community-engaged research methods to understand gaps in overdose reporting and prevention response in Texas.
Dr. Amjad earned his Ph.D in Computer Science from Instituto Politécnico Nacional, where he studied in Natural Language and Text Processing Laboratory in Center for Computing Research (Centro de Investigación en Computación).
With more than seven years of experience working in artificial intelligence and computational linguistics, natural language processing, data analysis, machine learning, and deep learning techniques, Dr. Amjad has a distinct advantage of contributing to exciting technological advances. Moreover, his background in mathematics and computer science provides expertise in solving technical and non-technical tasks with or without computer programming. He is very passionate about contributing to scientific knowledge and giving back to society, especially in social work.
In his spare time, he loves to get in touch with nature, develop social attractions with people, and learn about their valuable information. He likes to hike, explore nature, run, and play cricket in his free time. For further information, please write him at firstname.lastname@example.org.