Title
Assistant Professor
Education
Ph.D., Carnegie Mellon University, Machine Learning (2022)
M.S., Carnegie Mellon University, Machine Learning (2017)
B.S.E., Princeton University, Computer Science (2013)
Research Areas
Computational Science and Engineering, Artificial Intelligence, Machine Learning, and Natural Language Processing, Bioinformatics and Computational Biology, Distributed Systems
Biography
Abulhair Saparov is an Assistant Professor of Computer Science at Purdue University. His research focuses on applications of statistical machine learning to natural language processing, natural language understanding, and reasoning. His recent work closely examines the reasoning capacity of large language models, identifying fundamental limitations, and developing new methods and tools to address or workaround those limitations. He has also explored the use of symbolic and neurosymbolic methods to both understand and improve the reasoning capabilities of AI models. He is also broadly interested in other applications of statistical machine learning, such as to the natural sciences.