Summary
Amir Karami is an associate professor and computational data scientist with a decade of multidisciplinary experience in social network analysis, NLP, machine learning, and health informatics. He bridges academic research and applied AI through roles in universities, medical centers, and industry—recently advising clinical and translational science efforts while consulting on AI product work. His research and consulting track record includes spam detection, recommendation systems, text mining and mathematical decision models, with a particular strength in extracting actionable signals from social media and clinical text. Amir has founded a data startup, co-leads professional social media research groups, and routinely partners with healthcare centers to translate analytics into improved outcomes. He combines rigorous PhD-level methodology with hands-on deployment experience for startups and enterprise clients, making him equally comfortable publishing novel algorithms or delivering production-ready solutions. Based in South Carolina, he often applies computational techniques to real-world health problems, an angle that informs both his teaching and consulting.
9 years of coding experience
11 years of employment as a software developer
BS Industrial Engineering, BS Industrial Engineering at Iran University of Science and Technology
UMBC
Master of Science (MS) IT Management, Master of Science (MS) IT Management at University of Tehran
Persian, English