Biography of Sina Bari MD
Sina Bari MD is a Stanford-trained plastic and reconstructive surgeon with a distinguished medical technology and artificial intelligence career With a background that combines clinical practice, software development, and medical innovation, he is recognized for his leadership in medical AI, his contributions to patient care, and the advancement of digital healthcare tools
His professional path was shaped early in life. After losing his father at eight, he began assisting his mother by translating her computer science textbooks from Farsi into English This led to an early interest in computer programming. By high school, he had already gained proficiency in advanced UNIX networking and had developed biological simulation software on parallel supercomputing platforms These technical skills later supported his academic journey, helping him work through college and medical school.
He completed his undergraduate education in 2000, earning a Bachelor of Science in Biochemistry. He attended Stanford University School of Medicine, graduating in 2006 at the top of his class He was selected for one of three positions in Stanford Hospital and Clinics' accelerated plastic and reconstructive surgery residency program During his residency, he participated in the Stanford Bioinnovation program, contributing to designing medical devices to reduce infection during peritoneal dialysis These devices have since been brought to market
Current Role and Duties
In January 2022, he assumed the role of Senior Director of Medical Artificial Intelligence at a global data annotation company. Before officially taking this title, he had been leading the division for three years, having conceptualized and built the Medical AI unit from the ground up Under his direction, the division reached over $4 million in annual recurring revenue and became one of the leaders in its sector.
His current responsibilities include overseeing projects in medical artificial intelligence, where large datasets and human input are used to train machine learning models His work has contributed to advancements in several areas, including radiology, robotic surgery, drug safety, drug development, and endoscopy. Drawing on his clinical experience, he aims to improve patient care through practical technological tools His ability to align clinical standards with technical execution has helped streamline the creation of accurate and efficient medical AI datasets.
Career History
Before taking on his current leadership role, he served as Chief Innovation Officer at a healthcare imaging company He led the development of edge AI technologies in dermatology, ophthalmology, and otolaryngology there He utilized team management skills built during his years in surgery to guide innovation and operational strategy. He also collaborated closely with the sales team, offering medical insight to help structure effective outreach and engagement plans
Following his residency, his first position as a practicing surgeon was at the Veterans Administration in Palo Alto, where he worked in plastic and reconstructive surgery. He later transitioned to private practice as a consultant in plastic surgery. These clinical roles gave him valuable insight into patient care and procedural standards, which he has since used to inform the development of health technology products.
Academic History
During his undergraduate and medical studies, he continued to work as a web architect He earned his undergraduate degree in Biochemistry in 2000 and received his MD from Stanford in 2006 From 2006 through 2012, he completed a residency program at Stanford, specializing in skin and soft tissue surgery and plastic and reconstructive surgery
While completing his residency, he joined the Stanford Bioinnovation program This opportunity reconnected him with his early interest in computer programming and allowed him to contribute to projects involving medical device design and development
