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Jeffrey Gray is a professor in the Department of Chemical and Biomolecular Engineering at Johns Hopkins University and a member of the Data Science and AI Institute. He is a recipient of the Provost’s Discovery Award and has developed pioneering computer code architecture widely used by biomedical researchers for protein structure prediction and design. His laboratory, GrayLab, focuses on advancing computational tools to address diseases, immunity, cell signaling, and molecular mechanisms in various conditions, including Alzheimer’s disease, HIV, and cancer. Known for developing RosettaDock, a leading algorithm for predicting protein complex structures, Gray's team employs advanced optimization algorithms on supercomputing facilities, facilitating accurate results in protein docking. His lab has created tools for antibody engineering, contributing significantly to biopharmaceutical development. Gray collaborates with the Rosetta Commons, leading efforts in biomolecular modeling and providing resources to the academic and non-profit sectors. Over his career, he has received several prestigious awards, including the NIH K01 Mentored Quantitative Research Fellowship and the NSF Career Award. Gray is also recognized for his advocacy in STEM education and diversity and has served on various committees and boards to promote these initiatives.
Department of Pathology - PhD in Pathobiology. GRE is not required.