Associate Professor of Clinical Medicine, Academic Institute
Houston Methodist
Weill Cornell Medical College
Dr. Masayuki Nigo holds an M.D. and a Master of Science in Biomedical Informatics. He began his career in medicine after graduating from Fukui University, Japan, in 2005. Dr. Nigo honed his medical skills through a residency in Japan, followed by an internal medicine residency at Beth Israel Medical Center in New York, completed in 2013.
His expertise in infectious diseases was further cultivated at UTHealth McGovern Medical School, where he completed a fellowship in infectious diseases, and an advanced fellowship focusing on Transplant Infectious Diseases. Dr. Nigo's academic career took a significant stride forward at UTHealth McGovern Medical School, where he was appointed as an Assistant Professor in the Division of Infectious Diseases in 2016 and later elevated to Associate Professor in 2022.
In addition to his clinical and teaching roles, Dr. Nigo expanded his academic horizon by obtaining a Master of Science from the McWilliams School of Biomedical Informatics at UTHealth Houston.
In January 2023, Dr. Nigo embarked on a new chapter in his career by joining the Division of Infectious Diseases, Department of Medicine at Houston Methodist. Here, he continues his journey as an Associate Professor of Clinical Medicine, contributing his extensive knowledge and experience to the field of infectious diseases.
Dr. Nigo’s primary research interest lies in harnessing the vast potential of electronic health record (EHR) datasets to address critical clinical questions encountered at the patient's bedside. Through advanced coding and data analysis techniques, Dr. Nigo's lab explores a broad spectrum of research queries, employing both local and de-identified EHR datasets.
A key focus of his research is in the realm of precision medicine, applying artificial intelligence—particularly deep-learning models—to optimize antimicrobial therapy. His work aims to tailor treatment for high-risk patient populations, focusing on antimicrobial pharmacokinetics and the prediction of drug-resistant bacteria. This is achieved by integrating a wide range of patient-specific features extracted from electronic health records. Dr. Nigo's cutting-edge research is supported by NIH funding.
The Nigo Lab is a collaborative environment, boasting a diverse team of informaticians, fellows, residents, and students from both medical and bioinformatics disciplines. Dr. Nigo places a high value on mentorship and collaboration, fostering a rich learning atmosphere. This has led to successful projects, culminating in publications in peer-reviewed journals.
