About

Shih-Feng (Fredric) Huang, MD. Attending Colorectal Surgeon and surgical data scientist working at the intersection of robotic surgery, computer vision, and machine learning.

Position

Attending Surgeon, Division of Colorectal Surgery, Department of Surgery
Kaohsiung Veterans General Hospital, Taiwan (2019–present)

Education

PhD, Computer Science (Medical Informatics) — National Cheng Kung University (2026–present)
MD — National Defense Medical Center (2010–2017)

Certifications

• da Vinci Surgical System (Intuitive Surgical) — certified console surgeon
• Python Certified Entry-Level Programmer (PCEP)
• Google Advanced Data Analytics Professional Certificate
• DataCamp Data Scientist Professional

Research interests

Robotic total mesorectal excision · CT pelvimetry · Risk-adjusted CUSUM · Surgical phase recognition · Surgical Difficulty Index (SDI) · Anastomotic leak prediction · Machine learning learning curves

Open source

• ctpelvimetry — automated CT-based pelvimetry (PyPI)
• github.com/odafeng — clinical research code and tools

Contact

ORCID · GitHub · LinkedIn · shihfenghuang.com