Adaku Uchendu

Dr. Adaku Uchendu is a technical staff member in the Artificial Intelligence Technology and Systems Group at MIT Lincoln Laboratory. She joined the Laboratory in 2023, with a focus on evaluating the adversarial robustness of deep learning models through authorship obfuscation. Her research interests are in artificial intelligence, natural language processing, adversarial robustness, and topological data analysis in the application domain of cybersecurity.

Prior to joining Lincoln Laboratory, she interned with the Federal Reserve Board, Air Force Research Laboratory through the Autonomy Technology Research Center, IBM, and the Pacific Northwest National Laboratory. Her research focused on building models to distinguish human-written texts from deepfake texts. She has authored several papers in this research area.

Uchendu received a BS degree in mathematics from the University of Maryland Baltimore County in 2018. She received her PhD degree in Information Sciences and Technology from The Pennsylvania State University in 2023. Her graduate work was supported by the Bunton-Waller Fellowship, National Science Foundation's CyberCorps Scholarship for Service, and Alfred P. Sloan scholarship.