Internal Medicine PGY-1
Corpus Christi Medical Center
Maaz Ahmed, MD is a first-year Internal Medicine resident at Corpus Christi Medical Center and a research observer at Baylor College of Medicine. He blends clinical training with a passion for medical informatics and device innovation. While at UT Health San Antonio’s Long School of Medicine, he created PEPPER (Python-based Expeditious Program for Parsing Electronic Records), an automation tool that rapidly mines EMR data for large retrospective studies. PEPPER has already screened 1,600 charts at Texas Children’s Hospital to identify atypical-diabetes phenotypes and underpins an ongoing AI-driven collaboration with Baylor College of Medicine.
Maaz’s broader portfolio spans multiple technology-enabled projects. He worked on troCarWash, an FDA-cleared in-trocar laparoscopic lens-cleaning system, designing the image-clarity grading algorithm that earned a podium presentation at SAGES 2023 and publication in Surgical Endoscopy. In neuroscience, he wrote QuMIn, a fluorescence-image analyzer used to quantify protein aggregation in neurodegenerative-disease models. He also developed SALT, a sorting algorithm that accelerates literature discovery for meta-analyses. His work has garnered the Best Medical Student Poster Award at his medical-school research symposium.
Looking ahead, Maaz intends to leverage his informatics skill set to improve functional-outcome tracking and personalized rehabilitation. Although beginning his career in Internal Medicine, he ultimately aims to transition into Physical Medicine & Rehabilitation (PM&R), with a long-term goal of combining clinical care and data-driven innovation to optimize patient function and quality of life.
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