Dr. Scheer is currently a faculty member of the Department of Neurosurgery at Cedars-Sinai Medical Cener in Los Angeles, CA. He attended medical school at the University of California, San Diego (UCSD), School of Medicine, and then completed a residency in Neurological Surgery at the University of California, San Franciso (UCSF). Following residency, he went on to complete a complex spine fellow in the Department of Orthopedic Surgery at Columbia University in New York City.

His current clinical interests include spinal deformity, degenerative spine disease, and complex revision spine surgery. His research interests focus on spine surgery outcomes utilizing big-data, and machine learning/artificial intelligence, as well as exploring the intersection of bioengineering and spine surgery. The primary goal of the research is to maximize surgical success while minimizing surgical complications. Since 2008, Dr. Scheer has been performing spine related research beginning with cadaver-based spinal biomechanics at UCSF while studying Bioengineering as an undergraduate at UC Berkeley. Then while at medical school he transitioned to spine surgery clinical outcomes research and during that time in 2012 he began working with the ISSG as a statistician and research associate. Since then, he has completed numerous projects and publications with the group including some of the first advanced predictive modeling studies.