Icahn School of Medicine at Mount Sinai South Nassau
Samuel Y. Huang is a highly accomplished researcher and scholar with a diverse academic background and a passion for advancing the field of critical care medicine. He holds a Bachelor of Science degree in Biometry and Statistics from Cornell University, where he developed a strong foundation in statistical modeling and data analysis. Samuel further honed his expertise with a Master’s degree in Pharmacy from Rutgers University, focusing on pharmacological research and its clinical applications.
He continued his academic journey at Virginia Commonwealth University (VCU) School of Medicine, earning his medical degree and cultivating a deep interest in internal medicine and critical care. Currently, Samuel is an internal medicine resident at the Icahn School of Medicine at Mount Sinai South Nassau, where he is actively engaged in both clinical practice and research.
Samuel’s research interests include the application of biostatistics to critical care, with a focus on predictive modeling and data-driven insights to improve patient outcomes. His recent work explores statistical approaches to assess oxygenation indices, pulmonary artery catheterization outcomes in ischemic heart failure, and severity categorization in acute respiratory distress syndrome (ARDS). These contributions highlight his commitment to integrating advanced analytics into clinical decision-making.
In addition to his academic and clinical pursuits, Samuel is dedicated to fostering collaboration within the medical community and translating complex data into actionable knowledge. He has presented his work at national conferences, including the Society of Critical Care Medicine’s 2025 Critical Care Congress, where he will serve as the first author on three Research Snapshot Theater presentations.
Samuel’s multidisciplinary background and innovative research exemplify his dedication to advancing critical care medicine through the intersection of clinical expertise and biostatistical rigor.