University of Groningen
Deep learning for lung cancer on computed tomography
Zheng, Sunyi
DOI:
10.33612/diss.171374829
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Publication date: 2021
Link to publication in University of Groningen/UMCG research database
Citation for published version (APA):
Zheng, S. (2021). Deep learning for lung cancer on computed tomography: early detection and prognostic prediction. University of Groningen. https://doi.org/10.33612/diss.171374829
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Curriculum Vitae
》》》CHAPTER 13
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CURRICULUM VITAE
Sunyi Zheng was born in Hangzhou, China on November 29th, 1992. He started to attend the Northeastern University in Shenyang for the study of Biomedical Engineering in 2011. After three-year study in the advanced class, he obtained his bachelor degree with a thesis entitled ‘A portable heart sound acquisition and analysis system using Shannon encoding’. With a postgraduate recommendation, he continued study in Biomedical Engineering at the Northeastern University. In January 2017, he received his master’s with the thesis ‘Image reconstruction for few-view computed tomography using compressed sensing’. Then his interest shifted to deep learning. He started his PhD program focused on early detection and
prognostic prediction of lung cancer using deep learning techniques, supervised by assoc. prof. van Ooijen, prof. Oudkerk and prof. Veldhuis. He presented his research at several international and national conferences and webinars. During his PhD, he also worked at the institute for DiagNostic Accuracy as an AI data engineer and actively participated in large-scale screening projects related to lung cancer and cardiovascular diseases. Furthermore, he is an editorial board member of the Translational Oncology.
Besides his research, he loves to go skiing and skating with his family, friends and colleagues, and enjoys cooking all kinds of delicious cuisines.
