
معرفی
Laura Theresa Donlin serves as Associate Professor of Immunology in Medicine at Weill Cornell Medical College, Cornell University since 2022. She leads a research laboratory based at the Hospital for Special Surgery (HSS) and Weill Cornell Medicine, focusing on understanding the human immune system through high-dimensional molecular and genomic analysis of patient samples with autoimmune and musculoskeletal disorders.
Her primary research interests include:
- Rheumatoid arthritis molecular patterns and optimized treatment
- Immune checkpoint inhibitor arthritis and autoimmune disease mechanisms
- Autoimmune muscle disease
- Musculoskeletal tumors
Dr. Donlin participates in two major research consortia: the NIH-industry sponsored Accelerating Medicines Partnership (AMP) and the NIHGRI Impact of Genomic Variation on Function (IGVF). Her work bridges basic immunology with clinical applications, developing computational and genomic approaches to address clinical unmet needs in autoimmune diseases. She is affiliated with the Programs of Study in Physiology, Biophysics & Systems Biology and Immunology & Microbial Pathogenesis at Weill Cornell.
Her recent publications (2023-2025) demonstrate a strong emphasis on applying advanced genomic technologies to rheumatoid arthritis research. Key themes include spatial transcriptomics of synovial tissue, lymphocyte biology, chromatin landscapes of pathogenic cell states, and computational methods for analyzing inflamed tissues. Her research consistently aims to translate molecular findings into clinical applications for precision medicine approaches in autoimmune disorders.
Dr. Donlin's laboratory employs multidisciplinary approaches combining immunology, genomics, and computational biology to identify disease mechanisms and potential therapeutic targets. Her work has significant implications for understanding the molecular basis of autoimmune disorders and developing more effective, personalized treatment strategies for patients with rheumatoid arthritis and related conditions.



