Aditi Gupta

Aditi Gupta, PhD, is an Assistant Professor of Biostatistics at Washington University in St. Louis, affiliated with multiple institutes including the Institute for Informatics, Data Science and Biostatistics (I2DB), and the Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS). Her research focuses on neurofibromatosis type 1 (NF-1), machine learning applications in healthcare, electronic health records, and data sharing frameworks. She is actively involved with the Neurofibromatosis (NF) Center, Intellectual and Developmental Disabilities Research Center (IDDRC), and Center for Biostatistics and Data Science (CBDS).

Her work integrates computational methods with clinical data to address challenges in genetic disorders, predictive modeling, and healthcare transitions. She mentors PhD/MSTP students and collaborates on interdisciplinary projects involving biomedical informatics and translational research.

Recent studies include analyzing cognition in NF-1 patients, developing machine learning models for lung transplantation outcomes, and evaluating comorbidity reduction techniques. Her contributions span journals like Genes and Development and Journal of Pediatrics.

Gupta advocates for responsible data sharing practices and has contributed to qualitative research initiatives. Her research also addresses public health gaps in adolescent transition programs for chronic conditions like NF-1.