Jin Q.

Jin Q. is a highly skilled professional with extensive experience in research and engineering roles, particularly in natural language processing (NLP) and data science. At the Institute for Systems Biology, Jin Q. completed a master's thesis focused on predicting cancer patient survival probabilities using multi-spectral tumor tissue images. Subsequent roles include a research assistant position at the University of Washington, contributing to cloud-based systems and IoT projects, and various positions at Salesforce, where Jin Q. specialized in NLP, AutoML, and conversational AI technologies. Additional experience includes internships at Philips and JoinedPrice Technologies, along with research assistantships at Tongji University and the University of Washington - School of Medicine. Education includes a master's degree in Biomedical Informatics from the University of Washington and a bachelor's degree in Biotechnology from Yangzhou University, complemented by studies in Biomathematics, Bioinformatics, and Computational Biology at the University of Ottawa. Currently, Jin Q. is employed as a research engineer at Meta.