Balu Bhasuran

Balu Bhasuran is a Visiting Assistant Professor at the School of Information (iSchool), Florida State University (FSU), within the College of Communication & Information. He holds a PhD in Computational Biology from Bharathiar University, India, and has extensive postdoctoral experience at UCSF and FSU. His research focuses on Clinical NLP, Machine Learning, and Generative AI applied to healthcare, with expertise in EHR analysis, knowledge graphs, and causal inference.

Education:

• PhD in Computational Biology (Bharathiar University, 2020)
• MCA in Computer Applications (Mahatma Gandhi University, 2013)

Research Interests:

Dr. Bhasuran specializes in developing machine learning models for biomedical data, including clinical NLP for disease diagnosis, EHR-based prediction systems, and LLM applications in healthcare. He has contributed to projects like NASHDetection (NLP for liver disease identification) and Lab-AI (LLM-driven lab test interpretation).

Publications & Awards:

He has over 40 peer-reviewed publications, including work in npj Digital Medicine, JAMIA, and Biomedicines. Notable awards include the 2024 American Transplant Congress Pediatric Poster Award and best paper/poster awards at ICICC and BioIndica conferences. He holds Indian copyrights for software tools like D-NER, DisGeReExT, and GDMiner.

Grants & Collaborations:

He leads NIH- and FDA-funded grants on transplant rejection prediction, adverse event detection in IBD, and lab test interpretation tools. Collaborations include UCSF’s Real-World Evidence Lab and Merck/Alnylam on NASH research.

Labs & Teams:

He is part of FSU’s eHealth Lab, UCSF’s Real-World Evidence Lab, and the DRDO-BU Computational Biology Division. His work bridges clinical informatics, text mining, and AI for healthcare innovation.