Brian Ondov

Brian Ondov is an Associate Research Scientist at the Yale School of Medicine's Department of Biomedical Informatics and Data Science. He holds a PhD in Computer Science from the University of Maryland College Park, an MS in Bioinformatics from the Georgia Institute of Technology, and a BS in Computer Science from Rensselaer Polytechnic Institute.

His research spans Computational Genomics, Machine Learning, Natural Language Processing, and Human-Computer Interaction. Current work focuses on leveraging Large Language Models (LLMs) to enhance interactions with biomedical literature. His publications demonstrate expertise in developing algorithms for biomedical text simplification, genomic sequence analysis, and innovative data visualization techniques.

Research trends show consistent focus on: 1) Biomedical NLP and text accessibility, 2) Genomic data analysis tools, and 3) Perceptual aspects of data visualization. Recent work emphasizes patient-oriented language processing and epidemiological visualization.

Active research areas include developing interactive systems for biomedical knowledge discovery and creating visual analytics tools for complex spatiotemporal data in public health contexts.