BALU BHASURAN
Florida State University, University of California, Bharathiar University, BU-DRDO Centre for Life Sciences, Mahatma Gandhi University
0000-0002-9890-4627
About
I am currently a Research Faculty I in School of Information (iSchool), College of Communication & Information at Florida State University. Prior to this I was a Post Doctoral Fellow at eHealth Lab at iSchool in FSU working under Prof. Zhe He. Prior to this I was a Post Doctoral Fellow at The Bakar Computational Health Sciences Institute (BCHSI), University of California, San Francisco under Dr. Vivek Rudrapatna in the The Real-World Evidence Lab. I have a Ph.D. in Biomedical Informatics under Prof. Jeyakumar Natarajan in the DRDO-BU Center for Life Sciences, TamilNadu, India. I am a proud member of the eHealth Lab @ FSU, Real World Evidence Lab @UCSF, Data Mining and Text Mining Laboratory @BU and Computational Biology Division @ DRDO-BU CLS.
I am a researcher specializing in Information Extraction and Machine Learning within Clinical Data Science and Biomedicine. My current work centers on Clinical NLP, Machine Learning, and Generative AI. With over 10 years of experience, I have developed various classification and prediction models using biomedical data. My interests include causal inference, literature-based discovery, network visualization, knowledge graphs, and ensuring fairness and explainability in machine learning models.
Employment
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Florida State University Research Faculty I2025 - Present
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Florida State University Visiting Assistant Professor2024 - 2025
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Florida State University Post Doctoral Fellow2023 - 2024
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University of California Post doctoral employee2021 - 2023
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BU-DRDO Centre for Life Sciences Senior research Fellow2017 - 2018
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BU-DRDO Centre for Life Sciences Junior Research Fellow2014 - 2017
Education
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University of California Post doctoral employee2021 - Present
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Bharathiar University Ph.D.2014 - 2020
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Mahatma Gandhi University MCA2010 - 2013
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University of Kerala B.Sc Computer Science2007 - 2010
Projects & Funding
Projects & funding information is unavailable.
Publications (47)
- Generating Question Prompt Lists From Electronic Health Record Data Using Large Language Models: Iterative Evaluation Study Save
- A Curated Dataset for Question Answering on Laboratory Test Reference Ranges and Interpretation Save
- A Comparative Study of Machine Learning and Language Model Approaches for Classifying Mental Health Disorders Save
- Consistency in causal reasoning for large language models in scenarios of HIV antiretroviral treatment, drug interactions, and side effects Save
- Evaluation of causal reasoning for large language models in contextualized clinical scenarios of laboratory test interpretation Save
- LabQAR (Laboratory Question Answering with Reference Ranges) Data Set Save
- LabQAR (LaboratoryQuestionAnswering withReference Ranges) Data Set Save
- AI for Clinical Reasoning and Diagnosis (Free Seminar) Save
- Evaluating Large Language Models for RNA Interaction Extraction: A Comparative Study on Biomedical Research Save
- Tutorial: guidance on the use of large language models for medical research Save