Joining CU Boulder as Tenure-Track Assistant Professor
University of Colorado BoulderI am thrilled to share that I will be joining the Department of Information Science at the College of Media, Communication and Information (CMCI), University of Colorado Boulder, as a Tenure-Track Assistant Professor starting August 2026.
At CU Boulder, I plan to build a research group at the intersection of natural language processing, information integrity, and AI safety — with a particular focus on:
- Multilingual & low-resource NLP — extending state-of-the-art systems beyond English into the long tail of underrepresented languages
- Harmful content detection & mis/disinformation — building robust, equitable detection systems that work across dialects, languages, and modalities
- Adversarial ML & AI safety — understanding and mitigating evolving threats to language and content systems
- Equity in AI — ensuring that AI capabilities reach communities historically underserved by language technology
I am deeply grateful to my advisor Dr. Dongwon Lee, the PIKE Research Lab, the College of IST, the NSF LinDiv program, my collaborators at MIT Lincoln Laboratory and Lawrence Livermore National Laboratory, and my family, mentors, and friends for their support throughout my doctoral journey.
If you are a prospective PhD student, postdoc, or undergraduate researcher interested in working at this intersection — please reach out. I will be recruiting students for Fall 2026 and Spring 2027.
🦬 Excited for this next chapter at CU Boulder!
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.