Daniel Orringer

Daniel Orringer is a board-certified neurosurgeon and Associate Professor at NYU Langone Health, specializing in the treatment of primary and secondary brain and spinal cord tumors.1 He joined NYU Langone Health in August 2019 and has been serving in this role for nearly 5 years.1

Education and Career

Dr. Orringer received his Bachelor's degree in Cell/Cellular and Molecular Biology from Cornell University (1996-2000) and his Doctor of Medicine (M.D.) from The Ohio State University College of Medicine (2000-2004).1 He completed his residency in Neurological Surgery at the University of Michigan Health System in 2011 and a fellowship in Neuro-Oncology at Mass General Brigham/Brigham and Women's Hospital/Massachusetts General Hospital/Harvard Medical School in 2012.2

Prior to joining NYU Langone Health, Dr. Orringer held a position as an Assistant Professor at the University of Michigan Health System, where he worked for nearly 20 years.1

Research and Innovation

Dr. Orringer's research focuses on leveraging advances in molecular imaging technology to improve the safety and accuracy of brain tumor surgery.1 He has developed a novel laser-based technique called stimulated Raman histology (SRH), which helps detect tumors that were previously difficult to visualize during surgery.23

His work has earned him several prestigious awards, including:

1. The Andrew Parsa Young Investigator Basic/Translational Research Award from the Society for Neuro-Oncology (2016)
2. The Congress of Neurological Surgeons' Innovator of the Year Award (2017)
3. The Congress of Neurological Surgeons' Rosenblum–Mahaley Clinical Research Award (2019)2

Additional Roles

In addition to his clinical and research work, Dr. Orringer serves as:

1. The primary medical advisor to Invenio Imaging Inc., a startup focused on commercializing stimulated Raman histology.1
2. An Associate Professor in the Department of Pathology at NYU Grossman School of Medicine.2
3. The Residency Program Director for NYU Neurosurgery.4

Dr. Orringer's work aims to revolutionize brain tumor surgery by providing surgeons with more accurate, real-time information during procedures, ultimately improving patient outcomes.3