Regular biography
Alexander J. Hartemink is a Professor of Computer Science at Duke University, affiliated with the Department of Computer Science. His research focuses on the development of algorithms in statistical machine learning and artificial intelligence, with applications in computational genomics, particularly regulatory genomics and systems biology. He has been at Duke since 2001, following his Ph.D. from MIT. Hartemink is also affiliated with the Center for Advanced Genomic Technologies and the Center for Quantitative Biodesign. His work explores probabilistic representations, Bayesian statistics, and the integration of biological insights into statistical models.
Scholar-generated biography
Alexander J. Hartemink is a Professor of Computer Science and Biology at Duke University, specializing in computational biology, computational genomics, machine learning, Bayesian statistics, and AI ethics. His research focuses on developing statistical and computational methods to analyze biological data, particularly in the context of gene regulatory networks, imprinted genes, and transcriptional regulation. He has contributed to the advancement of Bayesian network inference, dynamic Bayesian models, and methods for integrating genomic and epigenomic data. His work includes the development of tools for single-cell RNA-seq analysis and the validation of regulatory network models using simulations. Hartemink's research bridges computational techniques with biological questions, emphasizing the ethical implications of AI in scientific discovery.