Daniel Hashimoto

Daniel Hashimoto is an Assistant Professor in the Department of Surgery at the Perelman School of Medicine, University of Pennsylvania. He directs the Penn Computer Assisted Surgery and Outcomes (PCASO) Laboratory, a multidisciplinary research group bridging surgery, computer science, and robotics. He also holds appointments in the School of Engineering and Applied Science, focusing on General Robotics, Automation, Sensing, and Perception.

His research centers on applying artificial intelligence (AI), computer vision, and robotics to enhance surgical decision-making and education. Key areas include intraoperative data analysis, digital health literacy, and automated feedback systems for surgical technique improvement in clinical and simulated environments.

Recent publications highlight his work on AI-driven surgical video analysis, federated learning for medical data, and ethical considerations in robotic surgical training. The PCASO Lab collaborates on validating AI tools for procedures like cholecystectomy and endoscopic myotomy while addressing data quality and privacy frameworks.

• Scientific Awards:
• Linda Pechenik Montague Investigator Award (Perelman School of Medicine)

Daniel mentors student researchers such as Vivek Singh, Aarush Sahni, and So Hee Ahn, who contribute to projects on robotic procedures and surgical education. The PCASO Lab emphasizes interdisciplinary collaboration between clinicians, engineers, and data scientists.