Dr. Ravi Teja Bhupatiraju

Dr. Ravi Teja Bhupatiraju obtained his medical degree from Manipal University in India and a PhD in Biomedical Informatics from Oregon Health & Science University, where he performed Information Retrieval (IR) work focusing on the Text Retrieval Conference's (TREC, NIST) Genomics track. He also developed an IR system for Healthcare Learning Object Metadata (Healthcare LOM), collaborating with the Medbiquitous consortium. For his doctoral dissertation, he conducted qualitative research for cognitive modeling of medication management activities of clinicians, developing novel theory. At National Library of Medicine (NLM) at NIH, as a post-doctoral fellow, he built a Natural Language Processing based Drug-Drug Interaction extraction pipeline for the FDA, along with various informatics tools, including a Named Entity Recognition tool and a MeSH term co-occurrence explorer. At University of Louisiana at Lafayette, he is the Health Informatics Research Scientist where conducts research on stress detection using wearables, predictive and visual analytics, public health data science, artificial Intelligence systems, especially on the application of Large Language Models in Healthcare.