Summary
Jonathan Taylor is an Associate Staff researcher and engineer based in Greater Boston with 11 years of experience applying Python, TensorFlow, Theano and Java to NLP problems like machine translation, text analytics, and persona linking. At MIT Lincoln Laboratory he progressed from Assistant Staff to Associate Staff, translating research prototypes into robust solutions for applied language understanding. He blends a strong academic foundation in mathematics, computer science, economics and software engineering from Rose-Hulman with practical industry internships at Amazon, National Instruments and others. Known for rigorous experimental work, he focuses on bridging research and production for challenging language tasks and often brings multi-disciplinary perspectives to problem formulation.
11 years of coding experience
1 year of employment as a software developer
Bachelor’s Degree, Mathematics and Computer Science and Economics and Software Engineering, 3.61, Bachelor’s Degree, Mathematics and Computer Science and Economics and Software Engineering, 3.61 at Rose-Hulman Institute of Technology
English