Spatial & Language Technologies Lab • Carnegie Mellon University
MSc in Engineering Artificial Intelligence, CMU '26
I am a Research Associate at the Spatial and Language Technologies Lab, Carnegie Mellon University. I investigate how structured representations and reasoning processes can be incorporated into neural language models for computational humor generation, LLM evaluation, and multimodal ML. My work focuses on how models capture and manipulate meaning, particularly in settings that require compositionality, contextual interpretation, and nuanced semantic shifts. More broadly, I am interested in developing cognitively grounded approaches to machine intelligence that improve interpretability, generalization, and alignment with human reasoning.
HumorGen-7B is our deployed humor-generation model on Hugging Face, built with persona-based distillation and released with the HumorGen paper.
HumorRank is our tournament-based leaderboard web app for evaluating humor generation across LLMs. Explore the live site at humorrank-leaderboard.pages.dev, with details in the HumorRank paper.
Built a full ML pipeline for multilabel detection of mental health conditions and cyberbullying using classical models and transformer-based embeddings. Results led to an Oral paper acceptance at AAAI-26 AIMedHealth.
Specialized benchmark dataset to close the "parametric knowledge gap" in AI economic analysis. Built 8,937 curated QA pairs from 236 World Bank African Reports (64k+ retrieval chunks).
Autonomous agent for business process automation using Google Forms/Sheets, LangChain, and FastAPI. Integrated email notifications and QA monitoring dashboard.
Started as a NLP Research Associate at the Spatial and Language Technologies Lab at Carnegie Mellon University (June 2026).
Gave a talk with the CMU-Africa NLP Group on "Beyond the Transformer: How Modern NLP Research actually uses Foundation Models" (May 2026).
Mental health & cyberbullying detection paper received Best Paper Award at AAAI AIMedHealth Bridge 2026.
Research Focus: Socially Aware AI • Grounded & Multimodal Reasoning • Human-AI Interaction
I'm applying to PhD programs to advance research in socially intelligent AI that communicates with social awareness, reasons across modalities, and generalizes beyond linguistic boundaries—moving toward AI systems that think and collaborate more like humans.