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Haopeng Xiao is an Assistant Professor of Biochemistry at Stanford University. His research focuses on employing mass spectrometry-based proteomics and metabolomics in combination with machine learning to elucidate the underlying mechanisms of metabolic regulation and protein function in health and disease. His primary aim is to leverage these insights to develop translational therapeutics for aging, metabolic diseases, and cancer. Current research directions include developing mass spectrometry and machine learning approaches to investigate molecular mechanisms of metabolic rewiring in cancer and aging, designing activity-based proteome profiling strategies to guide the development of chemical leads targeting undrugged proteins, and mechanistically defining protein functions through the integration of mass spectrometry with genetic perturbations. Additionally, he is focused on creating automated strategies for large-scale proteomics and metabolomics and investigating the role of Leucine-Rich Repeat-Containing Protein 58 in physiology and disease, with the goal of developing therapeutic leads targeting LRRC58 for clinical benefit.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.