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Amir Barati Farimani is an Associate Professor in the Departments of Biomedical Engineering and Chemical Engineering at Carnegie Mellon University. He completed his Ph.D. in Mechanical Science Engineering from the University of Illinois at Urbana-Champaign in 2015. His doctoral research focused on detecting biological molecules using nanopores, utilizing atomistic simulations to explore the physics of DNA sensing detection. After his Ph.D., he joined Professor Vijay Pande's lab at Stanford as a postdoctoral researcher, where he combined machine learning with molecular dynamics to investigate the conformational changes of G-Protein Coupled Receptors (GPCRs), with a particular focus on Mu-Opioid Receptors. His lab, the Mechanical Artificial Intelligence Laboratory (MAIL), incorporates multidisciplinary approaches to apply machine learning, data science, and molecular dynamics simulations to challenges in health and bioengineering. Barati Farimani aims to advance mechanical engineering by integrating state-of-the-art machine learning algorithms with traditional physics-based modeling approaches, thereby developing data-driven models capable of predicting mechanical system behaviors more accurately.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.