Alexander Tropsha
استاد · Computational Drug Discovery
University of North Carolina at Chapel Hillمعرفی
Dr. Alexander Tropsha is the KH Lee Distinguished Professor at the University of North Carolina Eshelman School of Pharmacy, where he serves as Associate Dean and Chief Domain Scientist for Molecular Informatics at the Renaissance Computing Institute. He holds adjunct appointments in the Departments of Biomedical Engineering, Computer Science, Applied Physical Sciences, and the School of Data Science and Society. His research spans computational pharmacology, cheminformatics, and biomedical knowledge graph mining.
- Education: PhD in Pharmacology and Biochemistry from Moscow State University
Dr. Tropsha’s work focuses on quantitative structure-activity relationship (QSAR) models, machine learning for drug discovery, and knowledge graph applications in health informatics. Recent research highlights include AI-driven drug repurposing, antiviral discovery, and in-silico toxicity testing. His publications emphasize data curation, model validation, and innovative computational frameworks.
His recent publications highlight trends in knowledge graph mining, AI/ML applications, and toxicity prediction. These works address challenges in drug discovery, rare diseases, and regulatory science, often integrating large-scale biomedical data.
- Fellow of the American Institute for Medical and Biological Engineering (AIMBE)
- KH Lee Distinguished Professor
Dr. Tropsha leads the Laboratory for Molecular Modeling and collaborates on interdisciplinary projects involving NIH/NSF/EPA-funded grants. He co-founded Predictive, LLC to commercialize computational safety assessment tools.
