معرفی
Nicholas P. Tatonetti is a Professor of Computational Biomedicine at Cedars-Sinai Medical Center and an Adjunct Associate Professor of Biomedical Informatics at Columbia University. He leads cancer data science initiatives and directs clinical informatics programs. His lab focuses on translational bioinformatics, machine learning, and clinical data analysis.
- PhD in Biomedical Informatics, Stanford University (2012)
- BS in Computational Mathematics and Molecular Biosciences/Biotechnology, Arizona State University (2008)
His research spans drug safety discovery (e.g., OnSIDES, Sex-ADE databases), cancer informatics (TNM staging automation, lymphoma care optimization), and EHR-based knowledge extraction (Chappy chatbot, familial heritability studies). Recent publications emphasize machine learning applications in cancer diagnostics, COVID-19 risk factors, and pediatric drug safety. The lab investigates adverse drug reactions through network medicine and AI-driven EHR analysis. While no scientific awards are explicitly listed, his work has been featured in Nature Communications, Cell, and Science Translational Medicine. Current lab members include 15 researchers across biomedical data science, machine learning, and clinical informatics domains.
