About
Irsyad received his B.Sc. in Applied Mathematics from the University of California, Los Angeles and is currently pursuing a Ph.D. in Medical Informatics at UCLA under Dr. Peipei Ping, where he develops multimodal graph deep learning and knowledge graph augmented LLM frameworks for personalized therapeutic recommendation and diagnostic prediction in cardiovascular disease, integrating patient omics and clinical notes via spatio‑temporal cross‑attention and trans‑omics molecular graphs to uncover biomarkers and power explainable precision‑medicine tools. He has done representation learning for clinical informatics at Genentech, AbbVie, HRL Laboratories (with the U.S. Department of Defense and Boeing).