Kai.Zhang.firstname.lastname@example.org | 713-500-9249
Dr. Kai Zhang is an Assistant Professor at the McWilliams School of Biomedical Informatics at UTHealth Houston. He is also an integral member of the Center for Secure Artificial Intelligence For Healthcare (SAFE). Dr. Zhang specializes in AI fairness, multimodal learning, and causality. He has been honored with opportunities to review manuscripts for renowned journals such as JBI, The Lancet Digital Health, Journal of Medical Internet Research, Journal of Medical Virology, IEEE TCOM, IEEE IT, and IEEE Access Journal. He has served on the reviewer board for IEEE ISIT in 2021 and IEEE JSAC in 2018.
Dr. Zhang has contributed research to prestigious journals, including but not limited to JBI, AMIA, Journal of Thrombosis and Thrombolysis, JMIR Medical Informatics, PLOS Digital Health, and Critical Care Medicine. His expertise also extends to the domain of information theory, with publications in IEEE TCOM, IEEE ISIT, and IEEE JSAC. He has co-authored a distinguished paper that was nominated as a finalist for the AMIA 2023 Best Student Paper Award. He is also an active member of several professional organizations, including the American Medical Informatics Association (AMIA), the Institute for Healthcare Improvement, and the Institute of Electrical and Electronics Engineers (IEEE).
Moreover, advancements in Natural Language Processing (NLP), especially large language models (LLMs) will revolutionize the way we understand and utilize unstructured data, like clinical notes, leading to more accurate diagnoses and personalized treatment plans.
Shay Price | 713-500-3983