Dan Guo
PhD Student
Education
- MS in Chemical Engineering, Beijing Institute of Technology – China
- BS in Bioengineering, Beijing Institute of Technology – China
Biography
Dan Guo is a doctoral student in the Khoury College of Computer Sciences at Northeastern University, advised by Olga Vitek. Dan researches and improves the performance of data analyzing software that works with mass spectrometry imaging. With her research experience based on theory, hardware building, and application of mass spectrometry, Dan's academic path has evolved into data analysis.
Before joining Northeastern, Dan earned both her graduate degree in chemical engineering and her undergraduate degree in bioengineering from the Beijing Institute of Technology. Going forward, Dan would like to continue research in mass spectrometry data analysis.
Recent Publications
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Deep multiple instance learning classifies subtissue locations in mass spectrometry images from tissue-level annotations
Citation: D. Guo, M. Föll, V. Volkmann, K. Enderle-Ammour, P. Bronsert, O. Schilling, O. Vitek. “Deep multiple instance learning classifies subtissue locations in mass spectrometry images from tissue-level annotations”, In: Proceedings of Intelligent Systems for Molecular Biology (ISMB), 36:i300, 2020. DOI: 10.1093/bioinformatics/btaa436 -
Unsupervised segmentation of mass spectrometric ion images characterizes morphology of tissues
Citation: D. Guo, K. A. Bemis, C. Rawlins, J. Agar, and O. Vitek. “Unsupervised segmentation of mass spectrometric ion images characterizes morphology of tissues.” Bioinformatics. 2019 -
GPU Assisted Simulation Study of Ion–Ion Reactions within Quadrupole Ion Traps
Citation: Guo, D.; He, M.;Wang,Y.; Xiong, X.; Fang, X.; Xu, W., GPU Assisted Simulation Study of Ion-Ion Reactions within Quadrupole Ion Traps. Journal of the American Society for Mass Spectrometry, 2015, 26(7), 1233-1241. IF 2.945