Summary
Ghulam Rasool is an AI-driven oncology researcher and Associate Member at Moffitt Cancer Center with 12 years of experience translating machine learning into clinical impact. He leads work on multimodal data integration, federated learning, and large language models to advance early detection, diagnosis, prognosis, and patient communication, supported by NIH, NSF, and state funding. He also serves as an Assistant Professor at Morsani College of Medicine, an NVIDIA DLI instructor and SME for NVIDIA’s LLM certification program, bridging education, industry, and clinical translation. His background spans neurorehabilitation, biomedical signal processing, and secure PHI/PII redaction for medical data—demonstrating a rare combination of deep mechanistic research and practical privacy-preserving ML deployments. Colleagues value his interdisciplinary collaborations with clinicians and his mentorship of the next generation of AI-for-health researchers.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Engineering Science and Systems, Doctor of Philosophy (Ph.D.) Engineering Science and Systems at University of Arkansas at Little Rock
Master’s Degree Computer Engineering, Master’s Degree Computer Engineering at Center for Advanced Studies in Engineering, Islamabad, Pakistan
Postdoctoral Fellowship Data Analysis and Machine Learning, Postdoctoral Fellowship Data Analysis and Machine Learning at Shirley Ryan AbilityLab
Postdoc Data Analysis and Machine Learning, Postdoc Data Analysis and Machine Learning at Northwestern University
Bachelor’s Degree Mechanical Engineering, Bachelor’s Degree Mechanical Engineering at National University of Sciences and Technology (NUST)
English, Urdu