معرفی
Edward Lee is an Instructor in Laboratory Medicine at Yale School of Medicine, with appointments in Clinical Fellow roles in Laboratory Medicine. His research focuses on immunohematology, blood group systems, and the application of advanced diagnostics like flow cytometry and machine learning in clinical settings. He is affiliated with the Kleinstein Lab, emphasizing translational research in hematology and transfusion medicine.
Education: MD from Albert Einstein College of Medicine (2020), PhD in Immunology from University of Glasgow (2018), BA in Biology from The College of New Jersey (2012).
Research interests include antibody responses to vaccines, hemolytic disorders, and improving diagnostic accuracy in blood group testing. His work addresses challenges in transfusion safety, rare blood antigen management, and clinical applications of automation in hematology. Recent studies explore SARS-CoV-2 antibody dynamics and the impact of storage conditions on blood products.
Publications span topics like therapeutic plasma exchange outcomes, RhD antigen variability, and AI-driven analysis of clinical data. His work bridges basic science and clinical practice, with a focus on advancing diagnostic precision and patient care in hematology.
No scientific awards are listed. Edward Lee has no recorded advisees or grant leadership positions highlighted in the provided data. He collaborates with the Kleinstein Lab on projects involving T cell dynamics and computational biology.
