Daniel Wu has a diverse background in both academic and professional settings, with experience ranging from roles such as Cashier at Lee's Sandwiches to a Data Engineer at Meta. Early work included a Graduate Research Assistant position at Stanford University School of Medicine, focusing on Radiology, Machine Learning, and Data Analytics. Daniel has also held positions as a Machine Learning Intern at Subtle Medical, where responsibilities included paper reviews and implementing features, and as a Full-stack Developer at Pagent. Daniel's educational journey encompasses a Bachelor's degree in Computer Science and a Master's degree in Computer Science from Northeastern University, supplemented by initial studies at New College of the Humanities. Additional roles include seasonal retail work at kate spade new york and various internships that enhance depth in research and engineering.
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