PhD Candidate in Computer Science
Kelley Lynch
Brandeis University · Computational Linguistics
I'm a Computer Science PhD candidate at Brandeis University specializing in Computational Linguistics, Multimedia AI, and Vision-Language Models (VLMs). My research focuses on designing agentic systems, prompt optimization, multimodal data annotation, and developing complex ontologies for information extraction. I work on the CLAMS project, developing tools that help cultural heritage archives analyze and extract metadata from audiovisual materials.
Research Interests
Vision-Language Models
Applying VLMs to multimedia analysis tasks including OCR, image captioning, and video understanding for cultural heritage archives.
Multimedia AI & Metadata
Automated metadata generation for audiovisual collections using NLP, computer vision, and ASR pipelines through the CLAMS platform.
Agentic Systems
Designing LLM-based agent architectures for orchestrating complex multimedia processing workflows.
Benchmark Dataset Creation
Designing multimodal datasets and evaluation pipelines for measuring model performance on information extraction tasks.