I am an Assistant Professor (Tenure-Track) in the Department of Computer Science and Data Science at Meharry Medical College, Nashville. My research lies at the intersection of Generative AI, Natural Language Processing, and Healthcare — building intelligent systems that improve clinical decision support, patient communication, and cybersecurity.
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Clinical workflows generate vast amounts of unstructured data — notes, conversations, and records — that go largely underutilized. I develop context-aware AI frameworks that transform this data into actionable insights, enabling automated clinical summarization, personalized patient responses, and intelligent decision support at the point of care.
Large language models hold transformative potential for medicine, but deploying them safely in high-stakes environments remains an open challenge. My work investigates HIPAA-compliant agentic AI systems, uncertainty quantification in LLM outputs, and the design of reliable AI pipelines that clinicians and patients can actually trust.
As AI systems become embedded in critical infrastructure, their security vulnerabilities become societal risks. I research explainable intrusion detection systems (X-IDS) and GenAI-enabled adaptive cyber defense strategies — building systems that not only detect threats but explain their reasoning in human-understandable terms.
Language is the primary medium of healthcare — yet most clinical text remains locked in formats machines cannot understand. I build NLP pipelines for clinical text mining, patient-centric knowledge graphs, and conversational agents that connect patients and clinicians to the right information at the right time.
An introduction to AI and machine learning techniques applied to clinical problems, including NLP for clinical notes, predictive modeling, and ethical considerations in healthcare AI.
Covers foundational principles of cybersecurity including intrusion detection, adversarial ML, network security, and emerging GenAI-enabled defense strategies.
Theory and practice of NLP including text classification, named entity recognition, transformer models, and applications in information retrieval and clinical text mining.
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Dept. of Computer Science & Data Science
Meharry Medical College, Nashville, TN
Mississippi State University
Advisor: Prof. Shahram Rahimi
Thesis: "Augmenting Healthcare Communication: Context-Aware AI Frameworks for Clinical Decision Support and Automated Summarization"
Graduate studies in information security and systems
Graduate studies in information technology
Open to research collaborations, speaking invitations, and prospective graduate students interested in AI, Healthcare, and Cybersecurity.