Pei Li

Pei Li has a diverse range of work experience in the field of research and software engineering. Pei started their career as a Software Engineering Intern at InfowareLab Infomation Technologies, Inc in September 2006, where they worked until February 2007. Pei then joined Università degli Studi di Milano-Bicocca as a Research Assistant in May 2008, and worked there until May 2009. Following that, they worked as a Research Intern at AT&T from April 2010 to October 2010. Pei then joined the University of Zurich in 2013 as a Senior Researcher, where they developed a data-cleaning framework and temporal blocking techniques. Finally, Pei joined Onedot in September 2015 as a Research Development Software Engineer, where they design and develops algorithms for data integration, cleaning, and enrichment.

Pei Li completed a Master's degree in Computer Science from Beijing University of Posts and Telecommunications from 2005 to 2008. Following that, they pursued a Doctor of Philosophy (Ph.D.) in Computer Science from Università degli Studi di Milano-Bicocca, graduating between 2009 and 2013. In addition to their formal education, Pei Li obtained several certifications from Coursera, including Deep Learning Specialization, Sequence Models, Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization, Machine Learning, Structuring Machine Learning Projects, and Neural Networks and Deep Learning. These certifications were obtained between May 2021 and September 2021.