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 (CMDI), University of Colorado Boulder, as a Tenure-Track Assistant Professor and founding Director of the Secure and Ethical AI Lab (SEAL) starting August 2026.
At CU Boulder, SEAL will pursue four interconnected research directions:
- Multilingual NLP & Low-Resource AI — extending model capabilities to underserved languages, dialects, and creoles, with particular emphasis on Caribbean and African diaspora varieties
- Trustworthy AI & Information Integrity — investigating how foundation models generate, propagate, and detect harmful content
- Ethical, Equitable & Human-Centered AI — developing socio-technical frameworks for responsible model development
- AI Safety & Robustness — building dialect-aware safety guardrails, contamination-resistant benchmarks, and adversarial evaluations
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 completed my Ph.D. in Informatics at Penn State University (defended May 2026; formal conferral August 2026), where I conducted research at the PIKE Research Lab under Dr. Dongwon Lee and the College of IST. Starting August 2026, I will join the Department of Information Science at the College of Media, Communication and Information (CMDI), University of Colorado Boulder, as a Tenure-Track Assistant Professor and founding Director of the Secure and Ethical AI Lab (SEAL). My research advances trustworthy and equitable AI for the world’s languages and communities — spanning multilingual NLP, low-resource and dialectal language technology, AI safety, and information integrity, with work extending across 70+ languages. I have authored 14+ peer-reviewed papers with 315+ citations in premier venues including ACL, EMNLP, NAACL, ICML, KDD, and IEEE.
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.