Recipient of the IST Ph.D. Award for Research Excellence (2026)
I am honored to be selected as the recipient of the 2026 IST Ph.D. Award for Research Excellence — the College of IST’s highest research honor for post-comprehensive Ph.D. students at Penn State.
The award, which includes a $500 cash prize, was selected by a three-member committee of Dr. Sarah Rajtmajer, Dr. Shomir Wilson, and Dr. Minhao Cheng from a competitive pool of nominations.
I am deeply grateful to my advisor Dr. Dongwon Lee for the nomination and for his continued mentorship throughout my doctoral journey, and to the PIKE Research Lab, the College of IST, and my collaborators for the support that made this work possible.
This recognition reflects the contributions of an incredible team I’ve had the privilege to work with — and the broader research community pushing forward equitable, safe, and multilingual AI.
I am a PhD candidate in Informatics in the College of IST at Penn State University, where I conduct research at the PIKE Research Lab under the guidance of Dr. Dongwon Lee. Starting August 2026, I will join the Department of Information Science at the College of Media, Communication and Information (CMCI), University of Colorado Boulder, as a Tenure-Track Assistant Professor. I specialize in AI/ML research focused on Information Integrity, Safe and Ethical AI, including combating harmful content across multiple languages and modalities. My research spans low-resource multilingual NLP, generative AI, and adversarial machine learning, with work extending across 79 languages. I have published 13 papers with 315+ citations in premier venues including ACL, EMNLP, IEEE, and NAACL.
My doctoral research focuses on bridging the digital language divide through transfer learning, classification (NLU), generation (NLG), adversarial attacks, and developing end-to-end AI pipelines using RAG and Agentic AI workflows for combating multilingual threats. Drawing from my Grenadian background and knowledge of local Creole languages, I bring a global perspective to AI challenges, working to democratize state-of-the-art AI capabilities for underserved linguistic communities worldwide. My mission is to develop robust multilingual multimodal systems and mitigate evolving security vulnerabilities while enhancing access to human language technology through cutting-edge solutions.
As an NSF LinDiv Fellow, I conduct transdisciplinary research advancing human-AI language interaction for social good. I actively mentor 5+ research interns and teach Applied Generative AI courses. Through industry experience at Lawrence Livermore National Lab, Interaction LLC, and Coalfire, I bridge academic research with practical applications in combating evolving security threats and enhancing global AI accessibility. I see multilingual advances and interdisciplinary collaboration as a competitive advantage, not a communication challenge. Beyond research, I stay active through dance, fitness, martial arts, and community service.